Building on doris.caelum.ci.dev
(from ocaml/opam:debian-unstable)
Unable to find image 'ocaml/opam:debian-unstable' locally
debian-unstable: Pulling from ocaml/opam
Digest: sha256:730ba1f0177ca25fd2003dcf99bd6c4e2bc2f1957c5aebd8d47e1bd69cf161a0
Status: Downloaded newer image for ocaml/opam:debian-unstable
2024-11-10 04:18.45 ---> using "0acd5aeaa8f7bc314514d9795d14a7f12ec72a6a5b11c5904350189734c6859b" from cache
/: (user (uid 1000) (gid 1000))
/: (env OPAMPRECISETRACKING 1)
/: (env OPAMUTF8 never)
/: (env OPAMEXTERNALSOLVER builtin-0install)
/: (env OPAMCRITERIA +removed)
/: (env CI true)
/: (env OPAM_HEALTH_CHECK_CI true)
/: (run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
2024-11-10 04:18.45 ---> using "40df4fa4cdfc68a5fa7a326047e82a7adc5df52b8059d4a7b745bdd50aad56e7" from cache
/: (run (network host)
(shell "rm -rf ~/opam-repository && git clone -q 'https://github.com/ocaml/opam-repository' ~/opam-repository && git -C ~/opam-repository checkout -q eecf6d033c6c13a6bda9b445601ddcbaa09dd288"))
2024-11-10 04:18.45 ---> using "659878f189cdb906ec3e452fdc4f26cfb0c3654f53f43b380cf690e70b2f5ac6" from cache
/: (run (shell "rm -rf ~/.opam && opam init -ya --bare --config ~/.opamrc-sandbox ~/opam-repository"))
Configuring from /home/opam/.opamrc-sandbox, then /home/opam/.opamrc, and finally from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.
<><> Fetching repository information ><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
User configuration:
~/.profile is already up-to-date.
[NOTE] Make sure that ~/.profile is well sourced in your ~/.bashrc.
2024-11-10 04:18.45 ---> using "b22293df705e6cba3afecfd99e3970445bf105f18df9a7b31bf5584e65710795" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam switch create --repositories=default '4.08' '4.08.1'"))
<><> Installing new switch packages <><><><><><><><><><><><><><><><><><><><><><>
Switch invariant: ["ocaml-base-compiler" {= "4.08.1"} | "ocaml-system" {= "4.08.1"}]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> installed base-bigarray.base
-> installed base-threads.base
-> installed base-unix.base
-> retrieved ocaml-config.1 (2 extra sources)
-> retrieved ocaml-config.1 (2 extra sources)
-> retrieved ocaml-base-compiler.4.08.1 (cached)
-> installed ocaml-base-compiler.4.08.1
-> installed ocaml-config.1
-> installed ocaml.4.08.1
Done.
# To update the current shell environment, run: eval $(opam env --switch=4.08)
2024-11-10 04:18.45 ---> using "9403b6e058efa1558cb0f8c712ef698aca77079b37de6ffb15872bd2302f0626" from cache
/: (run (network host)
(shell "opam update --depexts"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://deb.debian.org/debian unstable InRelease [202 kB]
- Get:2 http://deb.debian.org/debian unstable/main amd64 Packages.diff/Index [63.6 kB]
- Get:3 http://deb.debian.org/debian unstable/main amd64 Packages T-2024-11-09-0804.37-F-2024-11-04-2012.18.pdiff [276 kB]
- Get:3 http://deb.debian.org/debian unstable/main amd64 Packages T-2024-11-09-0804.37-F-2024-11-04-2012.18.pdiff [276 kB]
- Fetched 542 kB in 2s (337 kB/s)
- Reading package lists...
-
2024-11-10 04:18.45 ---> using "cf743e08d3d6523a62d3d906013d7ab07af6bcde9ba648fb6ab813818bb69ffd" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "\
\nopam remove -y \"owl.0.3.8\"\
\nopam install -vy \"owl.0.3.8\"\
\nres=$?\
\nif [ $res = 31 ]; then\
\n if opam show -f x-ci-accept-failures: \"owl.0.3.8\" | grep -q '\"debian-unstable\"'; then\
\n echo \"This package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\"\
\n exit 69\
\n fi\
\nfi\
\n\
\n\
\nexit $res\
\n"))
[NOTE] owl.0.3.8 is not installed.
Nothing to do.
The following actions will be performed:
=== install 23 packages
- install base v0.13.2 [required by owl]
- install base-bytes base [required by ctypes]
- install conf-openblas 0.2.2 [required by owl]
- install conf-pkg-config 3 [required by ctypes]
- install configurator v0.11.0 (deprecated) [required by owl]
- install csexp 1.5.2 [required by dune-configurator]
- install ctypes 0.16.0 [required by owl]
- install dune 3.16.1 [required by base, plplot]
- install dune-configurator 3.16.1 [required by base, plplot]
- install eigen 0.0.6 [required by owl]
- install integers 0.7.0 [required by ctypes]
- install jbuilder 1.0+beta20.2 [required by owl]
- install oasis 0.4.11 [required by eigen]
- install ocamlbuild 0.15.0 [required by eigen]
- install ocamlfind 1.9.6 [required by ctypes, eigen]
- install ocamlify 0.0.1 [required by oasis]
- install ocamlmod 0.0.9 [required by oasis]
- install owl 0.3.8
- install owl-base 0.3.8 [required by owl]
- install plplot 5.12.0 [required by owl]
- install sexplib0 v0.13.0 [required by base]
- install stdio v0.13.0 [required by owl]
- install stdlib-shims 0.3.0 [required by integers]
The following system packages will first need to be installed:
liblapacke-dev libopenblas-dev libplplot-dev libshp-dev pkg-config
<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>
opam believes some required external dependencies are missing. opam can:
> 1. Run apt-get to install them (may need root/sudo access)
2. Display the recommended apt-get command and wait while you run it manually (e.g. in another terminal)
3. Continue anyway, and, upon success, permanently register that this external dependency is present, but not detectable
4. Abort the installation
[1/2/3/4] 1
+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "liblapacke-dev" "libopenblas-dev" "libplplot-dev" "libshp-dev" "pkg-config"
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- Created symlink '/etc/systemd/system/getty.target.wants/getty@tty1.service' → '/usr/lib/systemd/system/getty@.service'.
- Created symlink '/etc/systemd/system/multi-user.target.wants/remote-fs.target' → '/usr/lib/systemd/system/remote-fs.target'.
- Created symlink '/etc/systemd/system/sysinit.target.wants/systemd-pstore.service' → '/usr/lib/systemd/system/systemd-pstore.service'.
- Initializing machine ID from random generator.
- Creating group 'systemd-journal' with GID 999.
- Creating group 'systemd-network' with GID 998.
- Creating user 'systemd-network' (systemd Network Management) with UID 998 and GID 998.
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- Adding 'diversion of /lib/x86_64-linux-gnu/libtirpc.so.3.0.0 to /lib/x86_64-linux-gnu/libtirpc.so.3.0.0.usr-is-merged by libtirpc3t64'
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- Setting up media-types (10.1.0) ...
- Setting up libgraphite2-3:amd64 (1.3.14-2+b1) ...
- Setting up libxcb-dri3-0:amd64 (1.17.0-2+b1) ...
- Setting up liblcms2-2:amd64 (2.16-2) ...
- Setting up libpixman-1-0:amd64 (0.44.0-2) ...
- Setting up libqsastime0:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up bzip2-doc (1.0.8-6) ...
- Setting up libsharpyuv0:amd64 (1.4.0-0.1+b1) ...
- Setting up libwayland-server0:amd64 (1.23.0-1+b1) ...
- Setting up libpciaccess0:amd64 (0.17-3+b2) ...
- Setting up systemd-sysv (257~rc1-4) ...
- Setting up libdouble-conversion3:amd64 (3.3.0-1+b2) ...
- Setting up libicu72:amd64 (72.1-5+b1) ...
- Setting up libxcb-xfixes0:amd64 (1.17.0-2+b1) ...
- Setting up liblerc4:amd64 (4.0.0+ds-5) ...
- Setting up hicolor-icon-theme (0.18-1) ...
- Setting up libxcb-xinput0:amd64 (1.17.0-2+b1) ...
- Setting up libdatrie1:amd64 (0.2.13-3+b1) ...
- Setting up libcurl4t64:amd64 (8.10.1-2) ...
- Setting up xdg-user-dirs (0.18-1) ...
- Setting up libmagic-mgc (1:5.45-3+b1) ...
- Setting up libqhull8.0:amd64 (2020.2-6+b2) ...
- Setting up libxcb-render0:amd64 (1.17.0-2+b1) ...
- Setting up libqsastime-dev:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libglvnd0:amd64 (1.7.0-1+b2) ...
- Setting up libtirpc-common (1.3.4+ds-1.3) ...
- Setting up libxcb-glx0:amd64 (1.17.0-2+b1) ...
- Setting up libgdk-pixbuf2.0-common (2.42.12+dfsg-1) ...
- Setting up libuv1t64:amd64 (1.48.0-7) ...
- Setting up libmagic1t64:amd64 (1:5.45-3+b1) ...
- Setting up libxcb-keysyms1:amd64 (0.4.0-1+b3) ...
- Setting up libxcb-shape0:amd64 (1.17.0-2+b1) ...
- Setting up x11-common (1:7.7+23.1) ...
- invoke-rc.d: could not determine current runlevel
- invoke-rc.d: policy-rc.d denied execution of start.
- Setting up libsensors-config (1:3.6.0-10) ...
- Setting up libdeflate0:amd64 (1.22-1) ...
- Setting up m4 (1.4.19-4) ...
- Setting up libnss-systemd:amd64 (257~rc1-4) ...
- Setting up libqhull-r8.0:amd64 (2020.2-6+b2) ...
- Setting up libxcb-render-util0:amd64 (0.3.9-1+b2) ...
- Setting up xkb-data (2.42-1) ...
- Setting up libxcb-shm0:amd64 (1.17.0-2+b1) ...
- Setting up libxcb-icccm4:amd64 (0.4.2-1) ...
- Setting up file (1:5.45-3+b1) ...
- Setting up libcsironn0:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libjbig0:amd64 (2.1-6.1+b2) ...
- Setting up lua5.1 (5.1.5-9+b3) ...
- update-alternatives: using /usr/bin/lua5.1 to provide /usr/bin/lua (lua-interpreter) in auto mode
- update-alternatives: using /usr/bin/luac5.1 to provide /usr/bin/luac (lua-compiler) in auto mode
- Setting up libpcre2-16-0:amd64 (10.42-4+b2) ...
- Setting up libelf1t64:amd64 (0.192-4) ...
- Setting up libxcb-util1:amd64 (0.4.0-1+b2) ...
- Setting up libxcb-xkb1:amd64 (1.17.0-2+b1) ...
- Setting up libxcb-image0:amd64 (0.4.0-2+b2) ...
- Setting up libxcb-present0:amd64 (1.17.0-2+b1) ...
- Setting up autotools-dev (20220109.1) ...
- Setting up libz3-4:amd64 (4.13.3-1) ...
- Setting up libpcre2-32-0:amd64 (10.42-4+b2) ...
- Setting up libglib2.0-0t64:amd64 (2.82.2-2) ...
- Setting up libblas3:amd64 (3.12.0-3+b1) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode
- Setting up libglib2.0-data (2.82.2-2) ...
- Setting up libxcb-xinerama0:amd64 (1.17.0-2+b1) ...
- Setting up libpkgconf3:amd64 (1.8.1-4) ...
- Setting up gcc-13-base:amd64 (13.3.0-8) ...
- Setting up libjpeg62-turbo:amd64 (1:2.1.5-3+b1) ...
- Setting up qttranslations5-l10n (5.15.15-2) ...
- Setting up libx11-data (2:1.8.10-2) ...
- Setting up libepoxy0:amd64 (1.5.10-2) ...
- Setting up libxcb-sync1:amd64 (1.17.0-2+b1) ...
- Setting up libjsoncpp26:amd64 (1.9.6-2) ...
- Setting up libavahi-common-data:amd64 (0.8-13+b3) ...
- Setting up libdbus-1-3:amd64 (1.14.10-6) ...
- Setting up libfribidi0:amd64 (1.0.15-1) ...
- Setting up libstdlib-ocaml (5.2.0-3) ...
- Setting up fonts-dejavu-mono (2.37-8) ...
- Setting up libpng16-16t64:amd64 (1.6.44-2) ...
- Setting up systemd-timesyncd (257~rc1-4) ...
- Creating group 'systemd-timesync' with GID 997.
- Creating user 'systemd-timesync' (systemd Time Synchronization) with UID 997 and GID 997.
- Created symlink '/etc/systemd/system/dbus-org.freedesktop.timesync1.service' → '/usr/lib/systemd/system/systemd-timesyncd.service'.
- Created symlink '/etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service' → '/usr/lib/systemd/system/systemd-timesyncd.service'.
- Setting up ocaml-base (5.2.0-3) ...
- Setting up fonts-dejavu-core (2.37-8) ...
- Setting up libqhullcpp8.0:amd64 (2020.2-6+b2) ...
- Setting up pkgconf-bin (1.8.1-4) ...
- Setting up libsensors5:amd64 (1:3.6.0-10+b1) ...
- Setting up libltdl7:amd64 (2.4.7-8) ...
- Setting up libglapi-mesa:amd64 (24.2.6-1) ...
- Setting up libqhull-dev:amd64 (2020.2-6+b2) ...
- Setting up libgfortran5:amd64 (14.2.0-8) ...
- Setting up libvulkan1:amd64 (1.3.296.0-1) ...
- Setting up autoconf (2.72-3) ...
- Setting up libwebp7:amd64 (1.4.0-0.1+b1) ...
- Setting up libplplot-data (5.15.0+dfsg2-11) ...
- Setting up libxcb-dri2-0:amd64 (1.17.0-2+b1) ...
- Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ...
- Setting up libdav1d7:amd64 (1.5.0-1+b1) ...
- Setting up libmtdev1t64:amd64 (1.1.6-1.2+b1) ...
- Setting up libgcc-13-dev:amd64 (13.3.0-8) ...
- Setting up libxshmfence1:amd64 (1.3-1+b2) ...
- Setting up libcsirocsa0:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up at-spi2-common (2.54.0-1) ...
- Setting up libshp4:amd64 (1.6.1-1) ...
- Setting up libtiff6:amd64 (4.5.1+git230720-5) ...
- Setting up libxcb-randr0:amd64 (1.17.0-2+b1) ...
- Setting up dbus-session-bus-common (1.14.10-6) ...
- Setting up liblua5.1-0:amd64 (5.1.5-9+b3) ...
- Setting up libmd4c0:amd64 (0.5.2-2+b1) ...
- Setting up libx11-6:amd64 (2:1.8.10-2) ...
- Setting up libthai-data (0.1.29-2) ...
- Setting up cmake-data (3.30.5-1) ...
- Setting up librhash1:amd64 (1.4.5-1) ...
- Setting up libwayland-egl1:amd64 (1.23.0-1+b1) ...
- Setting up libwxbase3.2-1t64:amd64 (3.2.6+dfsg-2) ...
- Setting up dbus-system-bus-common (1.14.10-6) ...
- Setting up libgfortran-13-dev:amd64 (13.3.0-8) ...
- Setting up libdrm-common (2.4.123-1) ...
- Setting up libxcomposite1:amd64 (1:0.4.6-1) ...
- Setting up libjson-c5:amd64 (0.18+ds-1) ...
- Setting up libevdev2:amd64 (1.13.3+dfsg-1) ...
- Setting up libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.1) ...
- Setting up dbus-bin (1.14.10-6) ...
- Setting up libbrotli-dev:amd64 (1.1.0-2+b5) ...
- Setting up libgudev-1.0-0:amd64 (238-5+b1) ...
- Setting up libblas-dev:amd64 (3.12.0-3+b1) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode
- Setting up libkmod2:amd64 (33+20240816-2) ...
- Setting up libwacom-common (2.13.0-1) ...
- Setting up libbz2-dev:amd64 (1.0.8-6) ...
- Setting up libxkbcommon0:amd64 (1.6.0-1+b2) ...
- Setting up libwayland-client0:amd64 (1.23.0-1+b1) ...
- Setting up automake (1:1.16.5-1.3) ...
- update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode
- Setting up libllvm19:amd64 (1:19.1.3-1) ...
- Setting up libx11-xcb1:amd64 (2:1.8.10-2) ...
- Setting up libice6:amd64 (2:1.1.1-1) ...
- Setting up libhpdf-2.3.0:amd64 (2.3.0+dfsg-1+b3) ...
- Setting up liblapack3:amd64 (3.12.0-3+b1) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode
- Setting up libxdamage1:amd64 (1:1.1.6-1+b2) ...
- Setting up libshp-dev:amd64 (1.6.1-1) ...
- Setting up libopenblas0-pthread:amd64 (0.3.28+ds-3) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so.0 to provide /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (libopenblas.so.0-x86_64-linux-gnu) in auto mode
- Setting up libatk1.0-0t64:amd64 (2.54.0-1) ...
- Setting up libxi6:amd64 (2:1.8.2-1) ...
- Setting up libxrender1:amd64 (1:0.9.10-1.1+b2) ...
- Setting up libtirpc3t64:amd64 (1.3.4+ds-1.3+b1) ...
- Setting up libpng-tools (1.6.44-2) ...
- Setting up libtool (2.4.7-8) ...
- Setting up libwacom9:amd64 (2.13.0-1) ...
- Setting up cpp-13-x86-64-linux-gnu (13.3.0-8) ...
- Setting up fontconfig-config (2.15.0-1.1+b1) ...
- Setting up gcc-13-x86-64-linux-gnu (13.3.0-8) ...
- Setting up libxtst6:amd64 (2:1.2.3-1.1+b2) ...
- Setting up libpng-dev:amd64 (1.6.44-2) ...
- Setting up libavahi-common3:amd64 (0.8-13+b3) ...
- Setting up libx11-dev:amd64 (2:1.8.10-2) ...
- Setting up libcloudproviders0:amd64 (0.3.6-1+b1) ...
- Setting up dbus-daemon (1.14.10-6) ...
- Setting up gfortran-13-x86-64-linux-gnu (13.3.0-8) ...
- Setting up libcolord2:amd64 (1.4.7-1+b2) ...
- Setting up pkgconf:amd64 (1.8.1-4) ...
- Setting up libxxf86vm1:amd64 (1:1.1.4-1+b3) ...
- Setting up libinput-bin (1.26.2-1) ...
- Setting up libdconf1:amd64 (0.40.0-4+b3) ...
- Setting up libltdl-dev:amd64 (2.4.7-8) ...
- Setting up libthai0:amd64 (0.1.29-2+b1) ...
- Setting up libtmglib3:amd64 (3.12.0-3+b1) ...
- Setting up libfreetype6:amd64 (2.13.3+dfsg-1) ...
- Setting up libxfixes3:amd64 (1:6.0.0-2+b2) ...
- Setting up libatspi2.0-0t64:amd64 (2.54.0-1) ...
- Setting up dbus (1.14.10-6) ...
- invoke-rc.d: could not determine current runlevel
- invoke-rc.d: policy-rc.d denied execution of start.
- Setting up shared-mime-info (2.4-5+b1) ...
- Setting up libxinerama1:amd64 (2:1.1.4-3+b2) ...
- Setting up libxkbcommon-x11-0:amd64 (1.6.0-1+b2) ...
- Setting up libplplot-ocaml (5.15.0+dfsg2-11+b3) ...
- Setting up liblapack-dev:amd64 (3.12.0-3+b1) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode
- Setting up libxrandr2:amd64 (2:1.5.4-1+b1) ...
- Setting up pkg-config:amd64 (1.8.1-4) ...
- Setting up libdrm2:amd64 (2.4.123-1) ...
- Setting up libopenblas0:amd64 (0.3.28+ds-3) ...
- Setting up liblapacke:amd64 (3.12.0-3+b1) ...
- Setting up libwayland-cursor0:amd64 (1.23.0-1+b1) ...
- Setting up libnsl2:amd64 (1.3.0-3+b3) ...
- Setting up libpam-systemd:amd64 (257~rc1-4) ...
- Setting up libharfbuzz0b:amd64 (10.0.1-1) ...
- Setting up libgdk-pixbuf-2.0-0:amd64 (2.42.12+dfsg-1+b1) ...
- Setting up libtmglib-dev:amd64 (3.12.0-3+b1) ...
- Setting up libfontconfig1:amd64 (2.15.0-1.1+b1) ...
- Setting up libsm6:amd64 (2:1.2.4-1) ...
- Setting up libarchive13t64:amd64 (3.7.4-1.1) ...
- Setting up libavahi-client3:amd64 (0.8-13+b3) ...
- Setting up libdrm-amdgpu1:amd64 (2.4.123-1) ...
- Setting up libopenblas-pthread-dev:amd64 (0.3.28+ds-3) ...
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode
- update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so to provide /usr/lib/x86_64-linux-gnu/libopenblas.so (libopenblas.so-x86_64-linux-gnu) in auto mode
- Setting up libatk-bridge2.0-0t64:amd64 (2.54.0-1) ...
- Setting up libinput10:amd64 (1.26.2-1) ...
- Setting up gtk-update-icon-cache (4.16.3+ds-2) ...
- Setting up fontconfig (2.15.0-1.1+b1) ...
- Regenerating fonts cache...
- done.
- Setting up libplplot17:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libpython3.12-stdlib:amd64 (3.12.7-3) ...
- Setting up cpp-13 (13.3.0-8) ...
- Setting up libdrm-radeon1:amd64 (2.4.123-1) ...
- Setting up libplplotcxx15:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up python3.12 (3.12.7-3) ...
- Setting up libxcursor1:amd64 (1:1.2.2-1+b1) ...
- Setting up libpango-1.0-0:amd64 (1.54.0+ds-3) ...
- Setting up libdrm-intel1:amd64 (2.4.123-1) ...
- Setting up liblapacke-dev:amd64 (3.12.0-3+b1) ...
- Setting up libplplot-lua:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libcairo2:amd64 (1.18.2-2) ...
- Setting up libfreetype-dev:amd64 (2.13.3+dfsg-1) ...
- Setting up dbus-user-session (1.14.10-6) ...
- Setting up libopenblas-dev:amd64 (0.3.28+ds-3) ...
- Setting up libqt5core5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up adwaita-icon-theme (47.0-2) ...
- update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode
- Setting up libplplotfortran0:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libnotify4:amd64 (0.8.3-1+b2) ...
- Setting up gcc-13 (13.3.0-8) ...
- Setting up libgdk-pixbuf2.0-bin (2.42.12+dfsg-1+b1) ...
- Setting up cmake (3.30.5-1) ...
- Setting up libcairo-gobject2:amd64 (1.18.2-2) ...
- Setting up libpangoft2-1.0-0:amd64 (1.54.0+ds-3) ...
- Setting up libcups2t64:amd64 (2.4.10-2) ...
- Setting up libpangocairo-1.0-0:amd64 (1.54.0+ds-3) ...
- Setting up libpython3-stdlib:amd64 (3.12.6-1) ...
- Setting up mesa-libgallium:amd64 (24.2.6-1) ...
- Setting up libqt5dbus5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up libgbm1:amd64 (24.2.6-1) ...
- Setting up libgl1-mesa-dri:amd64 (24.2.6-1) ...
- Setting up libqt5network5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up dconf-service (0.40.0-4+b3) ...
- Setting up python3 (3.12.6-1) ...
- running python rtupdate hooks for python3.12...
- running python post-rtupdate hooks for python3.12...
- Setting up librsvg2-2:amd64 (2.59.1+dfsg-1) ...
- Setting up libegl-mesa0:amd64 (24.2.6-1) ...
- Setting up libqt5qml5:amd64 (5.15.15+dfsg-3) ...
- Setting up gfortran-13 (13.3.0-8) ...
- Setting up librsvg2-common:amd64 (2.59.1+dfsg-1) ...
- Setting up libegl1:amd64 (1.7.0-1+b2) ...
- Setting up mesa-vulkan-drivers:amd64 (24.2.6-1) ...
- Setting up libqt5qmlmodels5:amd64 (5.15.15+dfsg-3) ...
- Setting up libglx-mesa0:amd64 (24.2.6-1) ...
- Setting up libglx0:amd64 (1.7.0-1+b2) ...
- Setting up dconf-gsettings-backend:amd64 (0.40.0-4+b3) ...
- Setting up libgl1:amd64 (1.7.0-1+b2) ...
- Setting up libgtk-3-common (3.24.43-4) ...
- Setting up gsettings-desktop-schemas (47.1-1) ...
- Setting up libqt5gui5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up libgtk-3-0t64:amd64 (3.24.43-4) ...
- Setting up at-spi2-core (2.54.0-1) ...
- Setting up libqt5quick5:amd64 (5.15.15+dfsg-3) ...
- Setting up libwxgtk3.2-1t64:amd64 (3.2.6+dfsg-2) ...
- Setting up libqt5widgets5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up libplplotwxwidgets1:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libqt5svg5:amd64 (5.15.15-2) ...
- Setting up libgtk-3-bin (3.24.43-4) ...
- Setting up qt5-gtk-platformtheme:amd64 (5.15.15+dfsg-2) ...
- Setting up libqt5waylandclient5:amd64 (5.15.15-2) ...
- Setting up libqt5waylandcompositor5:amd64 (5.15.15-2) ...
- Setting up plplot-driver-wxwidgets:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libqt5printsupport5t64:amd64 (5.15.15+dfsg-2) ...
- Setting up qtwayland5:amd64 (5.15.15-2) ...
- Setting up libplplotqt2:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up plplot-driver-qt:amd64 (5.15.0+dfsg2-11+b3) ...
- Setting up libplplot-dev (5.15.0+dfsg2-11+b3) ...
- Setting up dmsetup (2:1.02.201-1) ...
- Setting up libdevmapper1.02.1:amd64 (2:1.02.201-1) ...
- Setting up libcryptsetup12:amd64 (2:2.7.5-1) ...
- Setting up systemd-cryptsetup (257~rc1-4) ...
- Processing triggers for libc-bin (2.40-3) ...
- Processing triggers for systemd (257~rc1-4) ...
- Processing triggers for libgdk-pixbuf-2.0-0:amd64 (2.42.12+dfsg-1+b1) ...
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
Processing 1/67: [base.v0.13.2: extract]
Processing 2/67: [base.v0.13.2: extract]
-> retrieved conf-openblas.0.2.2 (cached)
Processing 3/67: [base.v0.13.2: extract]
Processing 4/67: [base.v0.13.2: extract]
Processing 5/67: [base.v0.13.2: extract] [configurator.v0.11.0: extract]
Processing 6/67: [base.v0.13.2: extract] [configurator.v0.11.0: extract] [csexp.1.5.2: extract]
Processing 7/67: [base.v0.13.2: extract] [configurator.v0.11.0: extract] [csexp.1.5.2: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas]
Processing 8/67: [base.v0.13.2: extract] [configurator.v0.11.0: extract] [csexp.1.5.2: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
-> retrieved configurator.v0.11.0 (cached)
Processing 8/67: [base.v0.13.2: extract] [csexp.1.5.2: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
Processing 9/67: [base.v0.13.2: extract] [csexp.1.5.2: extract] [ctypes.0.16.0: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
-> retrieved csexp.1.5.2 (cached)
Processing 9/67: [base.v0.13.2: extract] [ctypes.0.16.0: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
Processing 10/67: [base.v0.13.2: extract] [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
-> retrieved base.v0.13.2 (cached)
Processing 10/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
Processing 11/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [conf-openblas: sh cc $CFLAGS test.c -lopenblas] [conf-pkg-config: pkg-config]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "sh" "-exc" "cc $CFLAGS test.c -lopenblas" (CWD=/home/opam/.opam/4.08/.opam-switch/build/conf-openblas.0.2.2)
- + cc test.c -lopenblas
-> compiled conf-openblas.0.2.2
Processing 11/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [conf-pkg-config: pkg-config]
-> installed conf-openblas.0.2.2
Processing 12/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [conf-pkg-config: pkg-config]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "pkg-config" "--help" (CWD=/home/opam/.opam/4.08/.opam-switch/build/conf-pkg-config.3)
- usage: pkgconf [OPTIONS] [LIBRARIES]
-
- basic options:
-
- --help this message
- --about print pkgconf version and license to stdout
- --version print supported pkg-config version to stdout
- --atleast-pkgconfig-version check whether or not pkgconf is compatible
- with a specified pkg-config version
- --errors-to-stdout print all errors on stdout instead of stderr
- --print-errors ensure all errors are printed
- --short-errors be less verbose about some errors
- --silence-errors explicitly be silent about errors
- --list-all list all known packages
- --list-package-names list all known package names
- --simulate simulate walking the calculated dependency graph
- --no-cache do not cache already seen packages when
- walking the dependency graph
- --log-file=filename write an audit log to a specified file
- --with-path=path adds a directory to the search path
- --define-prefix override the prefix variable with one that is guessed based on
- the location of the .pc file
- --dont-define-prefix do not override the prefix variable under any circumstances
- --prefix-variable=varname sets the name of the variable that pkgconf considers
- to be the package prefix
- --relocate=path relocates a path and exits (mostly for testsuite)
- --dont-relocate-paths disables path relocation support
-
- cross-compilation personality support:
-
- --personality=triplet|filename sets the personality to 'triplet' or a file named 'filename'
- --dump-personality dumps details concerning selected personality
-
- checking specific pkg-config database entries:
-
- --atleast-version require a specific version of a module
- --exact-version require an exact version of a module
- --max-version require a maximum version of a module
- --exists check whether or not a module exists
- --uninstalled check whether or not an uninstalled module will be used
- --no-uninstalled never use uninstalled modules when satisfying dependencies
- --no-provides do not use 'provides' rules to resolve dependencies
- --maximum-traverse-depth maximum allowed depth for dependency graph
- --static be more aggressive when computing dependency graph
- (for static linking)
- --shared use a simplified dependency graph (usually default)
- --pure optimize a static dependency graph as if it were a normal
- dependency graph
- --env-only look only for package entries in PKG_CONFIG_PATH
- --ignore-conflicts ignore 'conflicts' rules in modules
- --validate validate specific .pc files for correctness
-
- querying specific pkg-config database fields:
-
- --define-variable=varname=value define variable 'varname' as 'value'
- --variable=varname print specified variable entry to stdout
- --cflags print required CFLAGS to stdout
- --cflags-only-I print required include-dir CFLAGS to stdout
- --cflags-only-other print required non-include-dir CFLAGS to stdout
- --libs print required linker flags to stdout
- --libs-only-L print required LDPATH linker flags to stdout
- --libs-only-l print required LIBNAME linker flags to stdout
- --libs-only-other print required other linker flags to stdout
- --print-requires print required dependency frameworks to stdout
- --print-requires-private print required dependency frameworks for static
- linking to stdout
- --print-provides print provided dependencies to stdout
- --print-variables print all known variables in module to stdout
- --digraph print entire dependency graph in graphviz 'dot' format
- --keep-system-cflags keep -I/usr/include entries in cflags output
- --keep-system-libs keep -L/lib:/lib/i386-linux-gnu:/lib/x86_64-linux-gnu:/lib/x86_64-linux-gnux32:/lib32:/libx32:/usr/lib:/usr/lib/i386-linux-gnu:/usr/lib/x86_64-linux-gnu:/usr/lib/x86_64-linux-gnux32:/usr/lib32:/usr/libx32 entries in libs output
- --path show the exact filenames for any matching .pc files
- --modversion print the specified module's version to stdout
- --internal-cflags do not filter 'internal' cflags from output
-
- filtering output:
-
- --msvc-syntax print translatable fragments in MSVC syntax
- --fragment-filter=types filter output fragments to the specified types
-
- report bugs to <https://github.com/pkgconf/pkgconf/issues/new>.
-> compiled conf-pkg-config.3
Processing 12/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http]
-> installed conf-pkg-config.3
Processing 13/67: [ctypes.0.16.0: extract] [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http]
-> retrieved ctypes.0.16.0 (cached)
Processing 13/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http]
Processing 14/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [integers.0.7.0: extract]
-> retrieved integers.0.7.0 (cached)
Processing 14/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http]
Processing 15/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [jbuilder.1.0+beta20.2: extract]
-> retrieved jbuilder.1.0+beta20.2 (cached)
Processing 15/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http]
Processing 16/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [oasis.0.4.11: extract]
Processing 17/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: http] [oasis.0.4.11: extract] [jbuilder: ocaml configure.ml]
Processing 17/67: [dune.3.16.1, dune-configurator.3.16.1: extract] [eigen.0.0.6: extract] [oasis.0.4.11: extract] [jbuilder: ocaml configure.ml]
-> retrieved dune.3.16.1, dune-configurator.3.16.1 (cached)
Processing 17/67: [eigen.0.0.6: extract] [oasis.0.4.11: extract] [jbuilder: ocaml configure.ml]
Processing 18/67: [eigen.0.0.6: extract] [oasis.0.4.11: extract] [ocamlbuild.0.15.0: extract] [jbuilder: ocaml configure.ml]
Processing 19/67: [eigen.0.0.6: extract] [oasis.0.4.11: extract] [ocamlbuild.0.15.0: extract] [dune: ocaml 255] [jbuilder: ocaml configure.ml]
-> retrieved oasis.0.4.11 (cached)
Processing 19/67: [eigen.0.0.6: extract] [ocamlbuild.0.15.0: extract] [dune: ocaml 255] [jbuilder: ocaml configure.ml]
Processing 20/67: [eigen.0.0.6: extract] [ocamlbuild.0.15.0: extract] [ocamlfind.1.9.6: extract] [dune: ocaml 255] [jbuilder: ocaml configure.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "configure.ml" "--libdir" "/home/opam/.opam/4.08/lib" (CWD=/home/opam/.opam/4.08/.opam-switch/build/jbuilder.1.0+beta20.2)
Processing 20/67: [eigen.0.0.6: extract] [ocamlbuild.0.15.0: extract] [ocamlfind.1.9.6: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml]
Processing 20/67: [eigen.0.0.6/eigen.install: dl] [ocamlbuild.0.15.0: extract] [ocamlfind.1.9.6: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml]
-> retrieved ocamlbuild.0.15.0 (cached)
Processing 20/67: [eigen.0.0.6/eigen.install: dl] [ocamlfind.1.9.6: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml]
Processing 21/67: [eigen.0.0.6/eigen.install: dl] [ocamlfind.1.9.6: extract] [ocamlify.0.0.1: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml]
Processing 22/67: [eigen.0.0.6/eigen.install: dl] [ocamlfind.1.9.6: extract] [ocamlify.0.0.1: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make]
-> retrieved ocamlfind.1.9.6 (cached)
Processing 22/67: [eigen.0.0.6/eigen.install: dl] [ocamlify.0.0.1: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make]
Processing 23/67: [eigen.0.0.6/eigen.install: dl] [ocamlify.0.0.1: extract] [ocamlmod.0.0.9: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make]
[ocamlfind: patch] applying 0001-Harden-test-for-OCaml-5.patch
Processing 24/67: [eigen.0.0.6/eigen.install: dl] [ocamlify.0.0.1: extract] [ocamlmod.0.0.9: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
-> retrieved eigen.0.0.6 (https://github.com/ryanrhymes/eigen/archive/0.0.6.tar.gz)
Processing 24/67: [ocamlify.0.0.1: extract] [ocamlmod.0.0.9: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
Processing 25/67: [ocamlify.0.0.1: extract] [ocamlmod.0.0.9: extract] [owl.0.3.8, owl-base.0.3.8: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
-> retrieved ocamlify.0.0.1 (cached)
Processing 25/67: [ocamlmod.0.0.9: extract] [owl.0.3.8, owl-base.0.3.8: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
Processing 26/67: [ocamlmod.0.0.9: extract] [owl.0.3.8, owl-base.0.3.8: extract] [plplot.5.12.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
-> retrieved ocamlmod.0.0.9 (cached)
Processing 26/67: [owl.0.3.8, owl-base.0.3.8: extract] [plplot.5.12.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
Processing 27/67: [owl.0.3.8, owl-base.0.3.8: extract] [plplot.5.12.0: extract] [sexplib0.v0.13.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: patch]
Processing 27/67: [owl.0.3.8, owl-base.0.3.8: extract] [plplot.5.12.0: extract] [sexplib0.v0.13.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: ./configure]
-> retrieved plplot.5.12.0 (cached)
Processing 27/67: [owl.0.3.8, owl-base.0.3.8: extract] [sexplib0.v0.13.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: ./configure]
Processing 28/67: [owl.0.3.8, owl-base.0.3.8: extract] [sexplib0.v0.13.0: extract] [stdio.v0.13.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: ./configure]
-> retrieved sexplib0.v0.13.0 (cached)
Processing 28/67: [owl.0.3.8, owl-base.0.3.8: extract] [stdio.v0.13.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: ./configure]
Processing 29/67: [owl.0.3.8, owl-base.0.3.8: extract] [stdio.v0.13.0: extract] [stdlib-shims.0.3.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make configure.make] [ocamlfind: ./configure]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "make" "-f" "configure.make" "all" "OCAMLBUILD_PREFIX=/home/opam/.opam/4.08" "OCAMLBUILD_BINDIR=/home/opam/.opam/4.08/bin" "OCAMLBUILD_LIBDIR=/home/opam/.opam/4.08/lib" "OCAMLBUILD_MANDIR=/home/opam/.opam/4.08/man" "OCAML_NATIVE=true" "OCAML_NATIVE_TOOLS=true" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0)
- (echo "# This file was generated from configure.make"; \
- echo ;\
- echo "OCAML_PREFIX="; \
- echo "OCAML_BINDIR=/home/opam/.opam/4.08/bin"; \
- echo "OCAML_LIBDIR=/home/opam/.opam/4.08/lib/ocaml"; \
- echo "OCAML_MANDIR=/home/opam/.opam/4.08/man"; \
- echo ;\
- echo "EXT_OBJ=.o"; \
- echo "EXT_ASM=.s"; \
- echo "EXT_LIB=.a"; \
- echo "EXT_DLL=.so"; \
- echo "EXE="; \
- echo ;\
- echo "OCAML_NATIVE=true"; \
- echo "OCAML_NATIVE_TOOLS=true"; \
- echo "NATDYNLINK=true"; \
- echo "SUPPORT_SHARED_LIBRARIES=true"; \
- echo ;\
- echo "PREFIX=/home/opam/.opam/4.08"; \
- echo "BINDIR=/home/opam/.opam/4.08/bin"; \
- echo "LIBDIR=/home/opam/.opam/4.08/lib"; \
- echo "MANDIR=/home/opam/.opam/4.08/man"; \
- ) > Makefile.config
- (echo "(* This file was generated from ../configure.make *)"; \
- echo ;\
- echo 'let bindir = {|/home/opam/.opam/4.08/bin|}'; \
- echo 'let libdir = {|/home/opam/.opam/4.08/lib|}'; \
- echo 'let ocaml_libdir = {|/home/opam/.opam/4.08/lib/ocaml|}'; \
- echo 'let libdir_abs = {|/home/opam/.opam/4.08/lib|}'; \
- echo 'let ocaml_native = true'; \
- echo 'let ocaml_native_tools = true'; \
- echo 'let supports_shared_libraries = true';\
- echo 'let a = "a"'; \
- echo 'let o = "o"'; \
- echo 'let so = "so"'; \
- echo 'let ext_dll = ".so"'; \
- echo 'let exe = ""'; \
- echo 'let version = "0.15.0"'; \
- ) > src/ocamlbuild_config.ml
Processing 29/67: [owl.0.3.8, owl-base.0.3.8: extract] [stdio.v0.13.0: extract] [stdlib-shims.0.3.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: ./configure]
-> retrieved stdio.v0.13.0 (cached)
Processing 29/67: [owl.0.3.8, owl-base.0.3.8: extract] [stdlib-shims.0.3.0: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: ./configure]
-> retrieved stdlib-shims.0.3.0 (cached)
Processing 29/67: [owl.0.3.8, owl-base.0.3.8: extract] [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: ./configure]
-> retrieved owl.0.3.8, owl-base.0.3.8 (cached)
Processing 29/67: [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: ./configure]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "./configure" "-bindir" "/home/opam/.opam/4.08/bin" "-sitelib" "/home/opam/.opam/4.08/lib" "-mandir" "/home/opam/.opam/4.08/man" "-config" "/home/opam/.opam/4.08/lib/findlib.conf" "-no-custom" "-no-camlp4" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6)
- Welcome to findlib version 1.9.6
- Configuring core...
- Checking for #remove_directory...
- Testing threading model...
- systhread_supported: true
- Testing DLLs...
- Testing whether ppxopt can be supported...
- Checking for ocamlc -opaque...
- Checking for ocamlopt -g...
- Querying installation: META list not found
- make install will double-check installed META files
- Configuring libraries...
- unix: found
- dynlink: found
- bigarray: found
- compiler-libs: found
- dbm: not present (normal since 4.00)
- graphics: found
- num: not present (normal since 4.06)
- ocamlbuild: not present (normal since 4.03)
- ocamldoc: found (in +ocamldoc)
- raw_spacetime: found
- threads: found (in +threads)
- str: found
- labltk: not present (normal since 4.02)
- native dynlink: found
- camlp4: disabled
- bytes: found, installing fake library
- Configuration for stdlib written to site-lib-src/stdlib/META
- Configuration for unix written to site-lib-src/unix/META
- Configuration for dynlink written to site-lib-src/dynlink/META
- Configuration for bigarray written to site-lib-src/bigarray/META
- Configuration for compiler-libs written to site-lib-src/compiler-libs/META
- Configuration for graphics written to site-lib-src/graphics/META
- Configuration for ocamldoc written to site-lib-src/ocamldoc/META
- Configuration for raw_spacetime written to site-lib-src/raw_spacetime/META
- Configuration for threads written to site-lib-src/threads/META
- Configuration for str written to site-lib-src/str/META
- Configuration for bytes written to site-lib-src/bytes/META
- Detecting compiler arguments: (extractor built) ok
-
- About the OCAML core installation:
- Standard library: /home/opam/.opam/4.08/lib/ocaml
- Binaries: /home/opam/.opam/4.08/bin
- Manual pages: /home/opam/.opam/4.08/man
- Multi-threading type: posix
- The directory of site-specific packages will be
- site-lib: /home/opam/.opam/4.08/lib
- The configuration file is written to:
- findlib config file: /home/opam/.opam/4.08/lib/findlib.conf
- Software will be installed:
- Libraries: in <site-lib>/findlib
- Binaries: /home/opam/.opam/4.08/bin
- Manual pages: /home/opam/.opam/4.08/man
- topfind script: /home/opam/.opam/4.08/lib/ocaml
- Topfind ppxopt support: yes
- Toolbox: no
- Link custom runtime: no
- Need bytes compatibility: no
-
- Configuration has been written to Makefile.config
-
- You can now do 'make all', and optionally 'make opt', to build ocamlfind.
Processing 29/67: [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: make all]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "make" "all" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6)
- for p in findlib; do ( cd src/$p; make all ) || exit; done
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
- ocamllex fl_meta.mll
- 22 states, 392 transitions, table size 1700 bytes
- USE_CYGPATH="0"; \
- export USE_CYGPATH; \
- cat findlib_config.mlp | \
- ../../tools/patch '@CONFIGFILE@' '/home/opam/.opam/4.08/lib/findlib.conf' | \
- ../../tools/patch '@STDLIB@' '/home/opam/.opam/4.08/lib/ocaml' | \
- sed -e 's;@AUTOLINK@;true;g' \
- -e 's;@SYSTEM@;linux;g' \
- >findlib_config.ml
- if [ "true" = "true" ]; then \
- cp topfind.ml.in topfind.ml; \
- else \
- sed -e '/PPXOPT_BEGIN/,/PPXOPT_END/ d' topfind.ml.in \
- > topfind.ml ; \
- fi
- ocamldep *.ml *.mli >depend
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c findlib_config.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_split.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_metatoken.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_meta.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c fl_metascanner.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_metascanner.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c fl_topo.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_topo.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c fl_package_base.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_package_base.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c findlib.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c findlib.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_args.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_lint.ml
- ocamlc -I +compiler-libs -a -o findlib.cma findlib_config.cmo fl_split.cmo fl_metatoken.cmo fl_meta.cmo fl_metascanner.cmo fl_topo.cmo fl_package_base.cmo findlib.cmo fl_args.cmo fl_lint.cmo
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c ocaml_args.ml
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c frontend.ml
- ocamlc -I +compiler-libs -o ocamlfind -g findlib.cma unix.cma \
- -I +unix -I +dynlink ocaml_args.cmo frontend.cmo
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c topfind.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c topfind.ml
- ocamlc -I +compiler-libs -a -o findlib_top.cma topfind.cmo
- USE_CYGPATH="0"; \
- export USE_CYGPATH; \
- cat topfind_rd1.p | \
- ../../tools/patch '@SITELIB@' '/home/opam/.opam/4.08/lib' \
- >topfind
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -c fl_dynload.mli
- ocamlc -I +compiler-libs -opaque -I +unix -I +dynlink -g -c fl_dynload.ml
- ocamlc -I +compiler-libs -a -o findlib_dynload.cma fl_dynload.cmo
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
- make all-config
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- USE_CYGPATH="0"; \
- export USE_CYGPATH; \
- cat findlib.conf.in | \
- tools/patch '@SITELIB@' '/home/opam/.opam/4.08/lib' | \
- tools/patch '@FINDLIB_PATH@' '/home/opam/.opam/4.08/lib' -p >findlib.conf
- if ./tools/cmd_from_same_dir ocamlc; then \
- echo 'ocamlc="ocamlc.opt"' >>findlib.conf; \
- fi
- if ./tools/cmd_from_same_dir ocamlopt; then \
- echo 'ocamlopt="ocamlopt.opt"' >>findlib.conf; \
- fi
- if ./tools/cmd_from_same_dir ocamldep; then \
- echo 'ocamldep="ocamldep.opt"' >>findlib.conf; \
- fi
- if ./tools/cmd_from_same_dir ocamldoc; then \
- echo 'ocamldoc="ocamldoc.opt"' >>findlib.conf; \
- fi
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
Processing 29/67: [dune: ocaml 255] [jbuilder: ocaml bootstrap.ml] [ocamlbuild: make check-if-preinstalled] [ocamlfind: make opt]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "bootstrap.ml" (CWD=/home/opam/.opam/4.08/.opam-switch/build/jbuilder.1.0+beta20.2)
- '/home/opam/.opam/4.08/bin/ocamllex.opt' -q src/meta_lexer.mll
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/action.ml src/action_intf.ml src/arg_spec.ml src/artifacts.ml src/bin.ml src/binary_kind.ml src/build.ml src/build_interpret.ml src/build_system.ml src/clflags.ml src/cm_kind.ml src/colors.ml src/config.ml src/context.ml src/dep_path.ml src/env.ml src/errors.ml src/exe.ml src/file_tree.ml src/findlib.ml src/gen_meta.ml src/gen_rules.ml src/glob_lexer.boot.ml src/import.ml src/inline_tests.ml src/install.ml src/install_rules.ml src/installed_dune_file.ml src/interned.ml src/jbuild.ml src/jbuild_load.ml vendor/boot/jbuilder_opam_file_format.ml vendor/boot/jbuilder_re.ml src/js_of_ocaml_rules.ml src/lib.ml src/loc.ml src/log.ml src/main.ml src/menhir.ml src/merlin.ml src/meta.ml src/meta_lexer.ml src/ml_kind.ml src/mode.ml src/module.ml src/module_compilation.ml src/modules_partitioner.ml src/ocaml_flags.ml src/ocamldep.ml src/odoc.boot.ml src/opam_file.ml src/ordered_set_lang.ml src/package.ml src/path.ml src/per_item.ml src/preprocessing.ml src/print_diff.ml src/process.ml src/report_error.ml src/scheduler.ml src/scope.ml src/setup.boot.ml src/sexp.ml src/string_with_vars.ml src/sub_system.ml src/sub_system_intf.ml src/sub_system_name.ml src/super_context.ml src/syntax.ml src/top_closure.ml src/utils.ml src/utop.ml src/variant.ml src/vfile_kind.ml src/watermarks.ml src/workspace.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/stdune/caml/caml.ml src/stdune/caml/result.ml src/stdune/caml/result_compat.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/fiber/fiber.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/ocaml-config/ocaml_config.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/stdune/stdune.ml src/stdune/ansi_color.ml src/stdune/array.ml src/stdune/char.ml src/stdune/common.ml src/stdune/comparable.ml src/stdune/either.ml src/stdune/exn.ml src/stdune/filename.ml src/stdune/hashtbl.ml src/stdune/import.ml src/stdune/int.ml src/stdune/io.ml src/stdune/list.ml src/stdune/map.ml src/stdune/map_intf.ml src/stdune/option.ml src/stdune/or_exn.ml src/stdune/ordering.ml src/stdune/pp.ml src/stdune/result.ml src/stdune/set.ml src/stdune/set_intf.ml src/stdune/staged.ml src/stdune/string.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/usexp/usexp.ml src/usexp/parser_automaton_internal.ml src/usexp/sexp_ast.ml src/usexp/table.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamldep.opt' -modules src/xdg/xdg.ml > boot-depends.txt
- '/home/opam/.opam/4.08/bin/ocamlc.opt' -g -w -40 -o boot.exe unix.cma boot.ml
- File "src/stdune/caml/result.ml", line 4, characters 7-17:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/stdune/caml/result.mli", line 6, characters 7-17:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/stdune/pp.ml", line 98, characters 7-18:
- Alert deprecated: Stdlib.Format.pp_open_tag
- Use Format.pp_open_stag.
- File "src/stdune/pp.ml", line 100, characters 7-19:
- Alert deprecated: Stdlib.Format.pp_close_tag
- Use Format.pp_close_stag.
- File "src/stdune/pp.ml", line 103, characters 18-48:
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/stdune/pp.ml", line 105, characters 6-36:
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
- File "src/stdune/io.ml", line 1, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/usexp/usexp.ml", line 209, characters 15-52:
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/usexp/usexp.ml", line 210, characters 2-39:
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
- File "src/colors.ml", line 105, characters 18-48:
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/colors.ml", line 107, characters 6-36:
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
Processing 29/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled] [ocamlfind: make opt]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "make" "opt" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6)
- for p in findlib; do ( cd src/$p; make opt ) || exit; done
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c findlib_config.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_split.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_metatoken.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_meta.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_metascanner.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_topo.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_package_base.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c findlib.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_args.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_lint.ml
- ocamlopt -I +compiler-libs -g -a -o findlib.cmxa findlib_config.cmx fl_split.cmx fl_metatoken.cmx fl_meta.cmx fl_metascanner.cmx fl_topo.cmx fl_package_base.cmx findlib.cmx fl_args.cmx fl_lint.cmx
- if [ 1 -gt 0 ]; then \
- ocamlopt -I +compiler-libs -g -shared -o findlib.cmxs findlib_config.cmx fl_split.cmx fl_metatoken.cmx fl_meta.cmx fl_metascanner.cmx fl_topo.cmx fl_package_base.cmx findlib.cmx fl_args.cmx fl_lint.cmx; \
- fi
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c ocaml_args.ml
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c frontend.ml
- ocamlopt -I +compiler-libs -g -o ocamlfind_opt findlib.cmxa unix.cmxa \
- -I +unix -I +dynlink ocaml_args.cmx frontend.cmx
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c topfind.ml
- File "_none_", line 1:
- Warning 58: no cmx file was found in path for module Topdirs, and its interface was not compiled with -opaque
- File "_none_", line 1:
- Warning 58: no cmx file was found in path for module Toploop, and its interface was not compiled with -opaque
- ocamlopt -I +compiler-libs -g -a -o findlib_top.cmxa topfind.cmx
- if [ 1 -gt 0 ]; then \
- ocamlopt -I +compiler-libs -g -shared -o findlib_top.cmxs topfind.cmx; \
- fi
- ocamlopt -I +compiler-libs -g -opaque -I +unix -I +dynlink -c fl_dynload.ml
- ocamlopt -I +compiler-libs -g -a -o findlib_dynload.cmxa fl_dynload.cmx
- if [ 1 -gt 0 ]; then \
- ocamlopt -I +compiler-libs -g -shared -o findlib_dynload.cmxs fl_dynload.cmx; \
- fi
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
-> compiled ocamlfind.1.9.6
Processing 29/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled]
Processing 30/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled] [ocamlfind: make install]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "make" "install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6)
- if [ "1" -eq 1 ]; then \
- for x in camlp4 dbm graphics labltk num ocamlbuild; do \
- if [ -f "/home/opam/.opam/4.08/lib/$x/META" ]; then \
- if ! grep -Fq '[distributed with Ocaml]' "//home/opam/.opam/4.08/lib/$x/META"; then \
- rm -f site-lib-src/$x/META; \
- fi; \
- fi; \
- done; \
- test -f "site-lib-src/num/META" || rm -f "site-lib-src/num-top/META"; \
- fi
- echo 'SITELIB_META =' > Makefile.packages.in
- for x in `ls site-lib-src`; do test ! -f "site-lib-src/$x/META" || echo $x >> Makefile.packages.in; done
- tr '\n' ' ' < Makefile.packages.in > Makefile.packages
- rm Makefile.packages.in
- install -d "/home/opam/.opam/4.08/bin"
- install -d "/home/opam/.opam/4.08/man"
- make install-config
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- install -d "`dirname \"/home/opam/.opam/4.08/lib/findlib.conf\"`"
- test -f "/home/opam/.opam/4.08/lib/findlib.conf" || install -c findlib.conf "/home/opam/.opam/4.08/lib/findlib.conf"
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- for p in findlib; do ( cd src/$p; make install ); done
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
- install -d "/home/opam/.opam/4.08/lib/findlib"
- install -d "/home/opam/.opam/4.08/bin"
- test 1 -eq 0 || install -d "/home/opam/.opam/4.08/lib/ocaml"
- test 1 -eq 0 || install -c topfind "/home/opam/.opam/4.08/lib/ocaml/"
- files=` ../../tools/collect_files ../../Makefile.config \
- findlib.cmi findlib.mli findlib.cma findlib.cmxa findlib.a findlib.cmxs \
- findlib_config.cmi findlib_config.ml topfind.cmi topfind.mli \
- fl_args.cmi fl_lint.cmi fl_meta.cmi fl_split.cmi fl_topo.cmi ocaml_args.cmi \
- fl_package_base.mli fl_package_base.cmi fl_metascanner.mli fl_metascanner.cmi \
- fl_metatoken.cmi findlib_top.cma findlib_top.cmxa findlib_top.a findlib_top.cmxs \
- findlib_dynload.cma findlib_dynload.cmxa findlib_dynload.a findlib_dynload.cmxs fl_dynload.mli fl_dynload.cmi \
- META` && \
- install -c $files "/home/opam/.opam/4.08/lib/findlib/"
- f="ocamlfind"; { test -f ocamlfind_opt && f="ocamlfind_opt"; }; \
- install -c $f "/home/opam/.opam/4.08/bin/ocamlfind"
- # the following "if" block is only needed for 4.00beta2
- if [ 1 -eq 0 -a -f "/home/opam/.opam/4.08/lib/ocaml/compiler-libs/topdirs.cmi" ]; then \
- cd "/home/opam/.opam/4.08/lib/ocaml/compiler-libs/"; \
- install -c topdirs.cmi toploop.cmi "/home/opam/.opam/4.08/lib/findlib/"; \
- fi
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6/src/findlib'
- make install-meta
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- for x in bigarray bytes compiler-libs dynlink graphics ocamldoc raw_spacetime stdlib str threads unix ; do install -d "/home/opam/.opam/4.08/lib/$x"; install -c site-lib-src/$x/META "/home/opam/.opam/4.08/lib/$x/META.tmp" && mv "/home/opam/.opam/4.08/lib/$x/META.tmp" "/home/opam/.opam/4.08/lib/$x/META"; done
- install -d "/home/opam/.opam/4.08/lib/findlib"; install -c Makefile.packages "/home/opam/.opam/4.08/lib/findlib/Makefile.packages"
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- test ! -f 'site-lib-src/num-top/META' || { cd src/findlib; make install-num-top; }
- test ! -f 'site-lib-src/camlp4/META' || install -c tools/safe_camlp4 "/home/opam/.opam/4.08/bin"
- make install-doc
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
- install -d "/home/opam/.opam/4.08/man/man1" "/home/opam/.opam/4.08/man/man3" "/home/opam/.opam/4.08/man/man5"
- install -c doc/ref-man/ocamlfind.1 "/home/opam/.opam/4.08/man/man1"
- install -c doc/ref-man/META.5 doc/ref-man/site-lib.5 doc/ref-man/findlib.conf.5 "/home/opam/.opam/4.08/man/man5"
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlfind.1.9.6'
-> installed ocamlfind.1.9.6
Processing 30/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled]
Processing 31/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled]
-> installed base-bytes.base
Processing 32/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlbuild: make check-if-preinstalled]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "make" "check-if-preinstalled" "all" "opam-install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0)
- if test -d /home/opam/.opam/4.08/lib/ocaml/ocamlbuild; then\
- >&2 echo "ERROR: Preinstalled ocamlbuild detected at"\
- "/home/opam/.opam/4.08/lib/ocaml/ocamlbuild";\
- >&2 echo "Installation aborted; if you want to bypass this"\
- "safety check, pass CHECK_IF_PREINSTALLED=false to make";\
- exit 2;\
- fi
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/const.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/loc.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/loc.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/discard_printf.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/discard_printf.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/signatures.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/exit_codes.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/exit_codes.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_std.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_std.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_executor.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_executor.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_unix.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_unix.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tags.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tags.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/display.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/display.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/log.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/log.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/shell.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/shell.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/bool.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/bool.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_ast.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_ast.ml
- ocamllex.opt src/glob_lexer.mll
- 55 states, 419 transitions, table size 2006 bytes
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_lexer.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_lexer.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob.ml
- ocamllex.opt src/lexers.mll
- 235 states, 1033 transitions, table size 5542 bytes
- 4238 additional bytes used for bindings
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/lexers.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/lexers.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/param_tags.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/param_tags.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/command.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/command.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_config.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_where.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_where.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/slurp.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/slurp.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/options.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/options.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/pathname.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/pathname.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/configuration.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/configuration.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/flags.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/flags.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hygiene.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hygiene.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/digest_cache.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/digest_cache.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/resource.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/resource.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/rule.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/rule.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/solver.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/solver.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/report.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/report.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tools.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tools.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/fda.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/fda.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/findlib.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/findlib.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_arch.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_arch.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_utils.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_utils.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_dependencies.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_dependencies.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_compiler.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_compiler.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_tools.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_tools.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_specific.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_specific.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/plugin.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/plugin.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hooks.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hooks.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/main.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/main.ml
- mkdir -p tmp
- ocamlc.opt -pack src/const.cmo src/loc.cmo src/discard_printf.cmo src/signatures.cmi src/exit_codes.cmo src/my_std.cmo src/ocamlbuild_executor.cmo src/my_unix.cmo src/tags.cmo src/display.cmo src/log.cmo src/shell.cmo src/bool.cmo src/glob_ast.cmo src/glob_lexer.cmo src/glob.cmo src/lexers.cmo src/param_tags.cmo src/command.cmo src/ocamlbuild_config.cmo src/ocamlbuild_where.cmo src/slurp.cmo src/options.cmo src/pathname.cmo src/configuration.cmo src/flags.cmo src/hygiene.cmo src/digest_cache.cmo src/resource.cmo src/rule.cmo src/solver.cmo src/report.cmo src/tools.cmo src/fda.cmo src/findlib.cmo src/ocaml_arch.cmo src/ocaml_utils.cmo src/ocaml_dependencies.cmo src/ocaml_compiler.cmo src/ocaml_tools.cmo src/ocaml_specific.cmo src/plugin.cmo src/hooks.cmo src/main.cmo -o tmp/ocamlbuild_pack.cmo
- mv tmp/ocamlbuild_pack.cmi src/ocamlbuild_pack.cmi
- mv tmp/ocamlbuild_pack.cmo src/ocamlbuild_pack.cmo
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c plugin-lib/ocamlbuild_plugin.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c plugin-lib/ocamlbuild_plugin.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c plugin-lib/ocamlbuild_unix_plugin.ml
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c bin/ocamlbuild.mli
- ocamlc.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c bin/ocamlbuild.ml
- ocamlc.opt -I +unix -I src -o ocamlbuild.byte -I +unix unix.cma src/ocamlbuild_pack.cmo plugin-lib/ocamlbuild_plugin.cmo plugin-lib/ocamlbuild_unix_plugin.cmo bin/ocamlbuild.cmo
- ocamlc.opt -a -o plugin-lib/ocamlbuildlib.cma src/ocamlbuild_pack.cmo plugin-lib/ocamlbuild_plugin.cmo plugin-lib/ocamlbuild_unix_plugin.cmo
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/const.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/loc.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/discard_printf.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/exit_codes.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_std.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_executor.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/my_unix.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tags.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/display.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/log.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/shell.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/bool.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_ast.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob_lexer.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/glob.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/lexers.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/param_tags.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/command.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_config.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocamlbuild_where.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/slurp.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/options.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/pathname.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/configuration.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/flags.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hygiene.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/digest_cache.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/resource.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/rule.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/solver.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/report.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/tools.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/fda.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/findlib.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_arch.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_utils.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_dependencies.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_compiler.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_tools.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/ocaml_specific.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/plugin.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/hooks.ml
- ocamlopt.opt -for-pack Ocamlbuild_pack -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c src/main.ml
- mkdir -p tmp
- ocamlopt.opt -pack src/const.cmx src/loc.cmx src/discard_printf.cmx src/signatures.cmi src/exit_codes.cmx src/my_std.cmx src/ocamlbuild_executor.cmx src/my_unix.cmx src/tags.cmx src/display.cmx src/log.cmx src/shell.cmx src/bool.cmx src/glob_ast.cmx src/glob_lexer.cmx src/glob.cmx src/lexers.cmx src/param_tags.cmx src/command.cmx src/ocamlbuild_config.cmx src/ocamlbuild_where.cmx src/slurp.cmx src/options.cmx src/pathname.cmx src/configuration.cmx src/flags.cmx src/hygiene.cmx src/digest_cache.cmx src/resource.cmx src/rule.cmx src/solver.cmx src/report.cmx src/tools.cmx src/fda.cmx src/findlib.cmx src/ocaml_arch.cmx src/ocaml_utils.cmx src/ocaml_dependencies.cmx src/ocaml_compiler.cmx src/ocaml_tools.cmx src/ocaml_specific.cmx src/plugin.cmx src/hooks.cmx src/main.cmx -o tmp/ocamlbuild_pack.cmx
- mv tmp/ocamlbuild_pack.cmx src/ocamlbuild_pack.cmx
- mv tmp/ocamlbuild_pack.o src/ocamlbuild_pack.o
- ocamlopt.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c plugin-lib/ocamlbuild_plugin.ml
- ocamlopt.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c plugin-lib/ocamlbuild_unix_plugin.ml
- ocamlopt.opt -w @14@29 -w +L -w +R -w +Z -I src -I plugin-lib -I bin -I +unix -safe-string -bin-annot -strict-sequence -c bin/ocamlbuild.ml
- ocamlopt.opt -I +unix -I src -o ocamlbuild.native -I +unix unix.cmxa src/ocamlbuild_pack.cmx plugin-lib/ocamlbuild_plugin.cmx plugin-lib/ocamlbuild_unix_plugin.cmx bin/ocamlbuild.cmx
- ocamlopt.opt -a -o plugin-lib/ocamlbuildlib.cmxa src/ocamlbuild_pack.cmx plugin-lib/ocamlbuild_plugin.cmx plugin-lib/ocamlbuild_unix_plugin.cmx
- ocamlc.opt -I +unix unix.cma src/ocamlbuild_pack.cmo -I src man/options_man.ml -o man/options_man.byte
- ./man/options_man.byte > man/ocamlbuild.options.1
- cat man/ocamlbuild.header.1 man/ocamlbuild.options.1 man/ocamlbuild.footer.1 > man/ocamlbuild.1
- make ocamlbuild.install
- make[1]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- rm -f ocamlbuild.install
- touch ocamlbuild.install
- make install-bin-opam
- make[2]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo 'bin: [' >> ocamlbuild.install
- echo ' "ocamlbuild.byte" {"ocamlbuild.byte"}' >> ocamlbuild.install
- echo ' "ocamlbuild.native" {"ocamlbuild.native"}' >> ocamlbuild.install
- echo ' "ocamlbuild.native" {"ocamlbuild"}' >> ocamlbuild.install
- echo ']' >> ocamlbuild.install
- echo >> ocamlbuild.install
- make[2]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make install-lib-opam
- make[2]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo 'lib: [' >> ocamlbuild.install
- make install-lib-basics-opam
- make[3]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo ' "ocamlbuild.opam" {"opam"}' >> ocamlbuild.install
- echo ' "META"' >> ocamlbuild.install
- for lib in src/signatures.mli src/signatures.cmi src/signatures.cmti; do \
- echo " \"$lib\" {\"$(basename $lib)\"}" >> ocamlbuild.install; \
- done
- make[3]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make install-lib-byte-opam
- make[3]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- for lib in plugin-lib/ocamlbuildlib.cma bin/ocamlbuild.cmo src/ocamlbuild_pack.cmi plugin-lib/ocamlbuild_plugin.cmi plugin-lib/ocamlbuild_unix_plugin.cmi; do \
- echo " \"$lib\" {\"$(basename $lib)\"}" >> ocamlbuild.install; \
- done
- make[3]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make install-lib-native-opam
- make[3]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- for lib in plugin-lib/ocamlbuildlib.cmxa plugin-lib/ocamlbuildlib.a bin/ocamlbuild.cmx bin/ocamlbuild.o src/ocamlbuild_pack.cmx plugin-lib/ocamlbuild_plugin.cmx plugin-lib/ocamlbuild_unix_plugin.cmx plugin-lib/ocamlbuild_plugin.o plugin-lib/ocamlbuild_unix_plugin.o; do \
- echo " \"$lib\" {\"$(basename $lib)\"}" >> ocamlbuild.install; \
- done
- make[3]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo ']' >> ocamlbuild.install
- echo >> ocamlbuild.install
- make[2]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make install-man-opam
- make[2]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo 'man: [' >> ocamlbuild.install
- echo ' "man/ocamlbuild.1" {"man1/ocamlbuild.1"}' >> ocamlbuild.install
- echo ']' >> ocamlbuild.install
- echo >> ocamlbuild.install
- make[2]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make install-doc-opam
- make[2]: Entering directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- echo 'doc: [' >> ocamlbuild.install
- echo ' "LICENSE"' >> ocamlbuild.install
- echo ' "Changes"' >> ocamlbuild.install
- echo ' "Readme.md"' >> ocamlbuild.install
- echo ']' >> ocamlbuild.install
- make[2]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
- make[1]: Leaving directory '/home/opam/.opam/4.08/.opam-switch/build/ocamlbuild.0.15.0'
-> compiled ocamlbuild.0.15.0
Processing 32/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255]
-> installed ocamlbuild.0.15.0
Processing 33/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255]
Processing 34/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlify: ocaml setup.ml]
Processing 35/67: [dune: ocaml 255] [jbuilder: ./boot.exe 255] [ocamlify: ocaml setup.ml] [ocamlmod: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-configure" "--prefix" "/home/opam/.opam/4.08" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlify.0.0.1)
- File "/home/gildor/programmation/oasis/src/oasis/PropList.ml", line 93, characters 13-29:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISMessage.ml", line 64, characters 37-52:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "/home/gildor/programmation/oasis/src/oasis/OASISUtils.ml", line 106, characters 10-26:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISExpr.ml", line 99, characters 24-40:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 28, characters 21-40:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 29, characters 21-38:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 146, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 147, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 148, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 149, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- I: Running command '/home/opam/.opam/4.08/bin/ocamlc.opt -config > /opam-tmp/oasis-280d9d.txt'
- I: Running command '/home/opam/.opam/4.08/bin/ocamlfind query -format %v findlib > /opam-tmp/oasis-f607d9.txt'
-
- Configuration:
-
- OCamlbuild additional flags: ...................
- Compile with ocaml profile flag on.: ........... false
- Compile with ocaml debug flag on.: ............. true
- Remove a directory.: ........................... rm -rf
- Remove a file.: ................................ rm -f
- suffix_program: ................................
- is_native: ..................................... true
- findlib_version: ............................... 1.9.6
- PS documentation: .............................. $docdir
- PDF documentation: ............................. $docdir
- DVI documentation: ............................. $docdir
- HTML documentation: ............................ $docdir
- Documentation root: ............................ $datarootdir/doc/$pkg_name
- Man documentation: ............................. $datarootdir/man
- Locale-dependent data: ......................... $datarootdir/locale
- Info documentation: ............................ $datarootdir/info
- Read-only architecture-independent data: ....... $datarootdir
- Read-only arch-independent data root: .......... $prefix/share
- Object code libraries: ......................... $exec_prefix/lib
- Modifiable single-machine data: ................ $prefix/var
- Modifiable architecture-independent data: ...... $prefix/com
- Read-only single-machine data: ................. $prefix/etc
- Program executables: ........................... $exec_prefix/libexec
- System admin executables: ...................... $exec_prefix/sbin
- User executables: .............................. $exec_prefix/bin
- Install architecture-dependent files in dir: ... $prefix
- Install architecture-independent files dir: .... /home/opam/.opam/4.08
- systhread_supported: ........................... true
- default_executable_name: ....................... a.out
- ext_dll: ....................................... .so
- ext_lib: ....................................... .a
- ext_asm: ....................................... .s
- ext_obj: ....................................... .o
- model: ......................................... default
- native_c_compiler: ............................. gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- bytecomp_c_compiler: ........................... gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- standard_library: .............................. /home/opam/.opam/4.08/lib/ocaml
- standard_library_default: ...................... /home/opam/.opam/4.08/lib/ocaml
- ocaml_version: ................................. 4.08.1
- ccomp_type: .................................... cc
- architecture: .................................. amd64
- system: ........................................ linux
- os_type: ....................................... Unix
- Package version: ............................... 0.0.1
- Package name: .................................. ocamlify
- ocamlbuild: .................................... /home/opam/.opam/4.08/bin/ocamlbuild
- ocamlopt: ...................................... /home/opam/.opam/4.08/bin/ocamlopt.opt
- ocamlc: ........................................ /home/opam/.opam/4.08/bin/ocamlc.opt
- ocamlfind: ..................................... /home/opam/.opam/4.08/bin/ocamlfind
-
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "./boot.exe" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/jbuilder.1.0+beta20.2)
- ocamlc src/stdune/caml/.caml.objs/caml__Result.{cmi,cmti}
- File "src/stdune/caml/result.mli", line 6, characters 7-17:
- 6 | open Pervasives
- ^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/stdune/caml/.caml.objs/caml__Result.{cmx,o}
- File "src/stdune/caml/result.ml", line 4, characters 7-17:
- 4 | open Pervasives
- ^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/stdune/.stdune.objs/stdune__Io.{cmx,o}
- File "src/stdune/io.ml", line 1, characters 11-21:
- 1 | module P = Pervasives
- ^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/stdune/.stdune.objs/stdune__Pp.{cmx,o}
- File "src/stdune/pp.ml", line 98, characters 7-18:
- 98 | pp_open_tag ppf (embed_tag ~opening ~closing);
- ^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_open_tag
- Use Format.pp_open_stag.
- File "src/stdune/pp.ml", line 100, characters 7-19:
- 100 | pp_close_tag ppf ()
- ^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_close_tag
- Use Format.pp_close_stag.
- File "src/stdune/pp.ml", line 103, characters 18-48:
- 103 | let funcs = pp_get_formatter_tag_functions ppf () in
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/stdune/pp.ml", line 105, characters 6-36:
- 105 | pp_set_formatter_tag_functions ppf
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
- ocamlopt src/usexp/.usexp.objs/usexp.{cmx,o}
- File "src/usexp/usexp.ml", line 209, characters 15-52:
- 209 | let tfuncs = Format.pp_get_formatter_tag_functions ppf () in
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/usexp/usexp.ml", line 210, characters 2-39:
- 210 | Format.pp_set_formatter_tag_functions ppf
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
- ocamlopt src/.jbuilder.objs/jbuilder__Colors.{cmx,o}
- File "src/colors.ml", line 105, characters 18-48:
- 105 | let funcs = pp_get_formatter_tag_functions ppf () in
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_get_formatter_tag_functions
- Use Format.pp_get_formatter_stag_functions.
- File "src/colors.ml", line 107, characters 6-36:
- 107 | pp_set_formatter_tag_functions ppf
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.Format.pp_set_formatter_tag_functions
- This function will erase non-string tag formatting functions. Use Format.pp_set_formatter_stag_functions.
-> compiled jbuilder.1.0+beta20.2
Processing 35/67: [dune: ocaml 255] [ocamlify: ocaml setup.ml] [ocamlmod: ocaml setup.ml]
-> installed jbuilder.1.0+beta20.2
Processing 36/67: [dune: ocaml 255] [ocamlify: ocaml setup.ml] [ocamlmod: ocaml setup.ml]
Processing 37/67: [dune: ocaml 255] [ocamlify: ocaml setup.ml] [ocamlmod: ocaml setup.ml] [owl-base: jbuilder build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-configure" "--prefix" "/home/opam/.opam/4.08" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlmod.0.0.9)
- File "./setup.ml", line 1796, characters 22-40:
- 1796 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-
- Configuration:
- ocamlfind: ........................................... /home/opam/.opam/4.08/bin/ocamlfind
- ocamlc: .............................................. /home/opam/.opam/4.08/bin/ocamlc.opt
- ocamlopt: ............................................ /home/opam/.opam/4.08/bin/ocamlopt.opt
- ocamlbuild: .......................................... /home/opam/.opam/4.08/bin/ocamlbuild
- Package name: ........................................ ocamlmod
- Package version: ..................................... 0.0.9
- os_type: ............................................. Unix
- system: .............................................. linux
- architecture: ........................................ amd64
- ccomp_type: .......................................... cc
- ocaml_version: ....................................... 4.08.1
- standard_library_default: ............................ /home/opam/.opam/4.08/lib/ocaml
- standard_library: .................................... /home/opam/.opam/4.08/lib/ocaml
- bytecomp_c_compiler: ................................. gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- native_c_compiler: ................................... gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- model: ............................................... default
- ext_obj: ............................................. .o
- ext_asm: ............................................. .s
- ext_lib: ............................................. .a
- ext_dll: ............................................. .so
- default_executable_name: ............................. a.out
- systhread_supported: ................................. true
- Install architecture-independent files dir: .......... /home/opam/.opam/4.08
- Install architecture-dependent files in dir: ......... $prefix
- User executables: .................................... $exec_prefix/bin
- System admin executables: ............................ $exec_prefix/sbin
- Program executables: ................................. $exec_prefix/libexec
- Read-only single-machine data: ....................... $prefix/etc
- Modifiable architecture-independent data: ............ $prefix/com
- Modifiable single-machine data: ...................... $prefix/var
- Object code libraries: ............................... $exec_prefix/lib
- Read-only arch-independent data root: ................ $prefix/share
- Read-only architecture-independent data: ............. $datarootdir
- Info documentation: .................................. $datarootdir/info
- Locale-dependent data: ............................... $datarootdir/locale
- Man documentation: ................................... $datarootdir/man
- Documentation root: .................................. $datarootdir/doc/$pkg_name
- HTML documentation: .................................. $docdir
- DVI documentation: ................................... $docdir
- PDF documentation: ................................... $docdir
- PS documentation: .................................... $docdir
- findlib_version: ..................................... 1.9.6
- is_native: ........................................... true
- suffix_program: ......................................
- Remove a file.: ...................................... rm -f
- Remove a directory.: ................................. rm -rf
- Turn ocaml debug flag on: ............................ true
- Turn ocaml profile flag on: .......................... false
- Compiler support generation of .cmxs.: ............... true
- OCamlbuild additional flags: .........................
- Create documentations: ............................... true
- Compile tests executable and library and run them: ... false
- pkg_str: ............................................. /home/opam/.opam/4.08/lib/ocaml
-
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-build" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlify.0.0.1)
- File "/home/gildor/programmation/oasis/src/oasis/PropList.ml", line 93, characters 13-29:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISMessage.ml", line 64, characters 37-52:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "/home/gildor/programmation/oasis/src/oasis/OASISUtils.ml", line 106, characters 10-26:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISExpr.ml", line 99, characters 24-40:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 28, characters 21-40:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 29, characters 21-38:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 146, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 147, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 148, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 149, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- I: Running command '/home/opam/.opam/4.08/bin/ocamlbuild src/ocamlify.byte -tag debug'
- + /home/opam/.opam/4.08/bin/ocamlopt.opt unix.cmxa -I /home/opam/.opam/4.08/lib/ocamlbuild /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuildlib.cmxa myocamlbuild.ml /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuild.cmx -o myocamlbuild
- + ocamlfind ocamldep -modules src/ocamlify.ml > src/ocamlify.ml.depends
- + ocamlfind ocamldep -modules src/OCamlifyConfig.ml > src/OCamlifyConfig.ml.depends
- + ocamlfind ocamlc -c -g -I src -o src/OCamlifyConfig.cmo src/OCamlifyConfig.ml
- + ocamlfind ocamlc -c -g -I src -o src/ocamlify.cmo src/ocamlify.ml
- + ocamlfind ocamlc -g -linkpkg -I src src/OCamlifyConfig.cmo src/ocamlify.cmo -o src/ocamlify.byte
- I: Running command 'cp '_build/src/ocamlify.byte' '_build/src/ocamlify''
-> compiled ocamlify.0.0.1
Processing 37/67: [dune: ocaml 255] [ocamlmod: ocaml setup.ml] [owl-base: jbuilder build]
Processing 38/67: [dune: ocaml 255] [ocamlmod: ocaml setup.ml] [owl-base: jbuilder build] [ocamlify: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "ocaml" "setup.ml" "-install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlify.0.0.1)
- File "/home/gildor/programmation/oasis/src/oasis/PropList.ml", line 93, characters 13-29:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISMessage.ml", line 64, characters 37-52:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "/home/gildor/programmation/oasis/src/oasis/OASISUtils.ml", line 106, characters 10-26:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISExpr.ml", line 99, characters 24-40:
- Alert deprecated: Stdlib.String.lowercase
- Use String.lowercase_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 28, characters 21-40:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/oasis/OASISLibrary.ml", line 29, characters 21-38:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 146, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 147, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 148, characters 31-50:
- Alert deprecated: Stdlib.String.uncapitalize
- Use String.uncapitalize_ascii instead.
- File "/home/gildor/programmation/oasis/src/plugins/internal/InternalInstallPlugin.ml", line 149, characters 31-48:
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- I: Copying file '/home/opam/.opam/4.08/.opam-switch/build/ocamlify.0.0.1/_build/src/ocamlify' to '/home/opam/.opam/4.08/bin/ocamlify'
- I: Running command 'cp '/home/opam/.opam/4.08/.opam-switch/build/ocamlify.0.0.1/_build/src/ocamlify' '/home/opam/.opam/4.08/bin/ocamlify''
-> installed ocamlify.0.0.1
Processing 38/67: [dune: ocaml 255] [ocamlmod: ocaml setup.ml] [owl-base: jbuilder build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-build" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlmod.0.0.9)
- File "./setup.ml", line 1796, characters 22-40:
- 1796 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + /home/opam/.opam/4.08/bin/ocamlopt.opt unix.cmxa -I /home/opam/.opam/4.08/lib/ocamlbuild /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuildlib.cmxa myocamlbuild.ml /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuild.cmx -o myocamlbuild
- File "_tags", line 21, characters 18-27:
- Warning: the tag "pkg_oUnit" is not used in any flag or dependency declaration, so it will have no effect; it may be a typo. Otherwise you can use `mark_tag_used` in your myocamlbuild.ml to disable this warning.
- File "_tags", line 23, characters 19-28:
- Warning: the tag "pkg_oUnit" is not used in any flag or dependency declaration, so it will have no effect; it may be a typo. Otherwise you can use `mark_tag_used` in your myocamlbuild.ml to disable this warning.
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package str -modules src/ocamlmod.ml > src/ocamlmod.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package str -modules src/ocamlmodConf.ml > src/ocamlmodConf.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -package str -I src -o src/ocamlmodConf.cmo src/ocamlmodConf.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -package str -I src -o src/ocamlmod.cmo src/ocamlmod.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -package str -I src -o src/ocamlmod.cmo src/ocamlmod.ml
- File "src/ocamlmod.ml", line 52, characters 4-21:
- 52 | String.capitalize
- ^^^^^^^^^^^^^^^^^
- Alert deprecated: Stdlib.String.capitalize
- Use String.capitalize_ascii instead.
- File "src/ocamlmod.ml", line 29, characters 6-13:
- 29 | let real_fn =
- ^^^^^^^
- Warning 26: unused variable real_fn.
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -g -linkpkg -package str -I src src/ocamlmodConf.cmo src/ocamlmod.cmo -o src/ocamlmod.byte
-> compiled ocamlmod.0.0.9
Processing 38/67: [dune: ocaml 255] [owl-base: jbuilder build]
Processing 39/67: [dune: ocaml 255] [owl-base: jbuilder build] [ocamlmod: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "jbuilder" "build" "-p" "owl-base" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/owl-base.0.3.8)
- ocamlc src/base/.owl_base.objs/owl_base_maths.{cmo,cmt}
- File "src/base/maths/owl_base_maths.ml", line 17, characters 16-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 19, characters 12-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 25, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 27, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 29, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 33, characters 14-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 44, characters 14-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 46, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 50, characters 14-37:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 50, characters 39-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 52, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 54, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 56, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 58, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 60, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 62, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 64, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 66, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 68, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 79, characters 13-27:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 90, characters 17-31:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_base_complex.{cmo,cmt}
- File "src/base/maths/owl_base_complex.ml", line 23, characters 2-12:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 56, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 62, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 84, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 89, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 94, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 116, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 165, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 214, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 279, characters 16-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 280, characters 16-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_utils_conv.{cmi,cmo,cmt}
- File "src/base/misc/owl_utils_conv.ml", line 52, characters 25-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 53, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 137, characters 25-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 138, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 139, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_base_maths.{cmx,o}
- File "src/base/maths/owl_base_maths.ml", line 17, characters 16-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 19, characters 12-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 25, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 27, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 29, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 33, characters 14-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 44, characters 14-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 46, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 50, characters 14-37:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 50, characters 39-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 52, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 54, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 56, characters 12-26:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 58, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 60, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 62, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 64, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 66, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 68, characters 13-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 79, characters 13-27:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_maths.ml", line 90, characters 17-31:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_base_linalg_generic.{cmi,cmo,cmt}
- File "src/base/linalg/owl_base_linalg_generic.ml", line 20, characters 10-24:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/linalg/owl_base_linalg_generic.ml", line 35, characters 10-24:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_base_complex.{cmx,o}
- File "src/base/maths/owl_base_complex.ml", line 23, characters 2-12:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 56, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 62, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 84, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 89, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 94, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 116, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 165, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 214, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 279, characters 16-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/maths/owl_base_complex.ml", line 280, characters 16-30:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_base_slicing.{cmi,cmo,cmt}
- File "src/base/core/owl_base_slicing.ml", line 125, characters 8-18:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_utils_conv.{cmx,o}
- File "src/base/misc/owl_utils_conv.ml", line 52, characters 25-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 53, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 137, characters 25-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 138, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/misc/owl_utils_conv.ml", line 139, characters 24-38:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_view.{cmo,cmt}
- File "src/base/misc/owl_view.ml", line 8, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_algodiff_generic.{cmi,cmo,cmt}
- File "src/base/optimise/owl_algodiff_generic.ml", line 1443, characters 18-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_base_slicing.{cmx,o}
- File "src/base/core/owl_base_slicing.ml", line 125, characters 8-18:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_base_dense_ndarray_generic.{cmo,cmt}
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 26, characters 14-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 40, characters 30-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 123, characters 17-31:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 124, characters 14-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 480, characters 20-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 493, characters 29-45:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 708, characters 29-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 708, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 712, characters 29-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 712, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 892, characters 25-45:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 892, characters 54-74:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 893, characters 34-48:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 893, characters 55-69:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 960, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 964, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 968, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 972, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 976, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 980, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1011, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1015, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1019, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1023, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1027, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1031, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1045, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1058, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1062, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1066, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1070, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1074, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1187, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1198, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1207, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1537, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1539, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1583, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1585, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1686, characters 23-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1687, characters 23-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2113, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2114, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2115, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2387, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2389, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2510, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2512, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2829, characters 21-41:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_view.{cmx,o}
- File "src/base/misc/owl_view.ml", line 8, characters 11-21:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_optimise_generic.{cmi,cmo,cmt}
- File "src/base/optimise/owl_optimise_generic.ml", line 50, characters 18-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlc src/base/.owl_base.objs/owl_neural_neuron.{cmi,cmo,cmt}
- File "src/base/neural/owl_neural_neuron.ml", line 50, characters 47-62:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/neural/owl_neural_neuron.ml", line 2415, characters 18-33:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_algodiff_generic.{cmx,o}
- File "src/base/optimise/owl_algodiff_generic.ml", line 1443, characters 18-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_optimise_generic.{cmx,o}
- File "src/base/optimise/owl_optimise_generic.ml", line 50, characters 18-32:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_neural_neuron.{cmx,o}
- File "src/base/neural/owl_neural_neuron.ml", line 50, characters 47-62:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/neural/owl_neural_neuron.ml", line 2415, characters 18-33:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_base_dense_ndarray_generic.{cmx,o}
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 26, characters 14-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 40, characters 30-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 123, characters 17-31:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 124, characters 14-28:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 480, characters 20-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 493, characters 29-45:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 708, characters 29-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 708, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 712, characters 29-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 712, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 892, characters 25-45:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 892, characters 54-74:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 893, characters 34-48:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 893, characters 55-69:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 960, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 964, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 968, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 972, characters 44-58:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 976, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 980, characters 44-59:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1011, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1015, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1019, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1023, characters 46-60:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1027, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1031, characters 46-61:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1045, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1058, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1062, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1066, characters 35-49:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1070, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1074, characters 35-50:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1187, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1198, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1207, characters 19-44:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1537, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1539, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1583, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1585, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1686, characters 23-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 1687, characters 23-39:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2113, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2114, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2115, characters 27-43:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2387, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2389, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2510, characters 45-65:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2512, characters 26-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/dense/owl_base_dense_ndarray_generic.ml", line 2829, characters 21-41:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/base/.owl_base.objs/owl_base_linalg_generic.{cmx,o}
- File "src/base/linalg/owl_base_linalg_generic.ml", line 20, characters 10-24:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/linalg/owl_base_linalg_generic.ml", line 35, characters 10-24:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-> compiled owl-base.0.3.8
Processing 39/67: [dune: ocaml 255] [ocamlmod: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "ocaml" "setup.ml" "-install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ocamlmod.0.0.9)
- File "./setup.ml", line 1796, characters 22-40:
- 1796 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-> installed ocamlmod.0.0.9
Processing 39/67: [dune: ocaml 255]
Processing 40/67: [dune: ocaml 255] [oasis: ocaml setup.ml]
-> installed owl-base.0.3.8
Processing 41/67: [dune: ocaml 255] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-configure" "--prefix" "/home/opam/.opam/4.08" (CWD=/home/opam/.opam/4.08/.opam-switch/build/oasis.0.4.11)
- File "src/oasis/OASISFeatures.ml", line 32, characters 22-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/BaseEnv.ml", line 210, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-
- Configuration:
- ocamlfind: ................................................... /home/opam/.opam/4.08/bin/ocamlfind
- ocamlc: ...................................................... /home/opam/.opam/4.08/bin/ocamlc.opt
- ocamlopt: .................................................... /home/opam/.opam/4.08/bin/ocamlopt.opt
- ocamlbuild: .................................................. /home/opam/.opam/4.08/bin/ocamlbuild
- Package name: ................................................ oasis
- Package version: ............................................. 0.4.11
- os_type: ..................................................... Unix
- system: ...................................................... linux
- architecture: ................................................ amd64
- ccomp_type: .................................................. cc
- ocaml_version: ............................................... 4.08.1
- standard_library_default: .................................... /home/opam/.opam/4.08/lib/ocaml
- standard_library: ............................................ /home/opam/.opam/4.08/lib/ocaml
- bytecomp_c_compiler: ......................................... gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- native_c_compiler: ........................................... gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- model: ....................................................... default
- ext_obj: ..................................................... .o
- ext_asm: ..................................................... .s
- ext_lib: ..................................................... .a
- ext_dll: ..................................................... .so
- default_executable_name: ..................................... a.out
- systhread_supported: ......................................... true
- Install architecture-independent files dir: .................. /home/opam/.opam/4.08
- Install architecture-dependent files in dir: ................. $prefix
- User executables: ............................................ $exec_prefix/bin
- System admin executables: .................................... $exec_prefix/sbin
- Program executables: ......................................... $exec_prefix/libexec
- Read-only single-machine data: ............................... $prefix/etc
- Modifiable architecture-independent data: .................... $prefix/com
- Modifiable single-machine data: .............................. $prefix/var
- Object code libraries: ....................................... $exec_prefix/lib
- Read-only arch-independent data root: ........................ $prefix/share
- Read-only architecture-independent data: ..................... $datarootdir
- Info documentation: .......................................... $datarootdir/info
- Locale-dependent data: ....................................... $datarootdir/locale
- Man documentation: ........................................... $datarootdir/man
- Documentation root: .......................................... $datarootdir/doc/$pkg_name
- HTML documentation: .......................................... $docdir
- DVI documentation: ........................................... $docdir
- PDF documentation: ........................................... $docdir
- PS documentation: ............................................ $docdir
- findlib_version: ............................................. 1.9.6
- is_native: ................................................... true
- suffix_program: ..............................................
- Remove a file.: .............................................. rm -f
- Remove a directory.: ......................................... rm -rf
- Turn ocaml debug flag on: .................................... true
- Turn ocaml profile flag on: .................................. false
- Compiler support generation of .cmxs.: ....................... true
- OCamlbuild additional flags: .................................
- Install OASIS and base libraries, for plugins development: ... true
- Build OASIS tools for development: ........................... false
- Build test-quickstart: ....................................... true
- Build test-omake: ............................................ false
- Build test-devel: ............................................ false
- Create documentations: ....................................... true
- Compile tests executable and library and run them: ........... false
- make: ........................................................ /usr/bin/make
- ocamlmod: .................................................... /home/opam/.opam/4.08/bin/ocamlmod
- ocamlyacc: ................................................... /home/opam/.opam/4.08/bin/ocamlyacc
- ocamllex: .................................................... /home/opam/.opam/4.08/bin/ocamllex
- ocamlify: .................................................... /home/opam/.opam/4.08/bin/ocamlify
- pkg_unix: .................................................... /home/opam/.opam/4.08/lib/ocaml
- pkg_ocamlbuild: .............................................. /home/opam/.opam/4.08/lib/ocamlbuild
- ocamldoc: .................................................... /home/opam/.opam/4.08/bin/ocamldoc
- pkg_dynlink: ................................................. /home/opam/.opam/4.08/lib/ocaml
- pkg_findlib: ................................................. /home/opam/.opam/4.08/lib/findlib
-
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "boot/bootstrap.ml" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/dune.3.16.1)
- ocamlc -custom -w -24 -g -o .duneboot.exe -I boot unix.cma boot/libs.ml boot/duneboot.ml
- ./.duneboot.exe -j 255
- cd _boot && /home/opam/.opam/4.08/bin/ocamlopt.opt -c -g -no-alias-deps -w -49-6 -alert -unstable -I +threads dune_util__Gc.ml
- File "src/dune_util/gc.ml", line 78, characters 5-351:
- Warning 23: all the fields are explicitly listed in this record:
- the 'with' clause is useless.
-
Processing 41/67: [dune: ./_boot/dune.exe build] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "./_boot/dune.exe" "build" "dune.install" "--release" "--profile" "dune-bootstrap" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/dune.3.16.1)
-> compiled dune.3.16.1
Processing 41/67: [oasis: ocaml setup.ml]
-> installed dune.3.16.1
Processing 42/67: [oasis: ocaml setup.ml]
Processing 43/67: [csexp: dune build] [oasis: ocaml setup.ml]
Processing 44/67: [csexp: dune build] [oasis: ocaml setup.ml] [sexplib0: dune build]
Processing 45/67: [csexp: dune build] [oasis: ocaml setup.ml] [sexplib0: dune build] [stdlib-shims: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "csexp" "-j" "255" "@install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/csexp.1.5.2)
-> compiled csexp.1.5.2
Processing 45/67: [oasis: ocaml setup.ml] [sexplib0: dune build] [stdlib-shims: dune build]
-> installed csexp.1.5.2
Processing 46/67: [oasis: ocaml setup.ml] [sexplib0: dune build] [stdlib-shims: dune build]
Processing 47/67: [dune-configurator: rm] [oasis: ocaml setup.ml] [sexplib0: dune build] [stdlib-shims: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "sexplib0" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/sexplib0.v0.13.0)
-> compiled sexplib0.v0.13.0
Processing 47/67: [dune-configurator: rm] [oasis: ocaml setup.ml] [stdlib-shims: dune build]
-> installed sexplib0.v0.13.0
Processing 48/67: [dune-configurator: rm] [oasis: ocaml setup.ml] [stdlib-shims: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "stdlib-shims" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/stdlib-shims.0.3.0)
-> compiled stdlib-shims.0.3.0
Processing 48/67: [dune-configurator: rm] [oasis: ocaml setup.ml]
-> installed stdlib-shims.0.3.0
Processing 49/67: [dune-configurator: rm] [oasis: ocaml setup.ml]
Processing 50/67: [dune-configurator: rm] [integers: dune build] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "rm" "-rf" "vendor/csexp" (CWD=/home/opam/.opam/4.08/.opam-switch/build/dune-configurator.3.16.1)
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "rm" "-rf" "vendor/pp" (CWD=/home/opam/.opam/4.08/.opam-switch/build/dune-configurator.3.16.1)
Processing 50/67: [dune-configurator: dune build] [integers: dune build] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "integers" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/integers.0.7.0)
-> compiled integers.0.7.0
Processing 50/67: [dune-configurator: dune build] [oasis: ocaml setup.ml]
-> installed integers.0.7.0
Processing 51/67: [dune-configurator: dune build] [oasis: ocaml setup.ml]
Processing 52/67: [ctypes: touch libffi.config] [dune-configurator: dune build] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "touch" "libffi.config" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0)
Processing 52/67: [ctypes: make ctypes-base] [dune-configurator: dune build] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "dune-configurator" "-j" "255" "@install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/dune-configurator.3.16.1)
-> compiled dune-configurator.3.16.1
Processing 52/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
-> installed dune-configurator.3.16.1
Processing 53/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
Processing 54/67: [base: dune build] [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
Processing 55/67: [base: dune build] [ctypes: make ctypes-base] [oasis: ocaml setup.ml] [plplot: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "plplot" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/plplot.5.12.0)
- File "src/dune", line 12, characters 27-38:
- 12 | (names plplot_core_stubs plplot_impl idlalloc)
- ^^^^^^^^^^^
- (cd _build/default/src && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -g -O2 -I/usr/include/plplot -g -I /home/opam/.opam/4.08/lib/ocaml -o plplot_impl.o -c plplot_impl.c)
- plplot_impl.c: In function 'ml_plparseopts':
- plplot_impl.c:704:41: error: passing argument 2 of 'c_plparseopts' from incompatible pointer type [-Wincompatible-pointer-types]
- 704 | result = plparseopts( &argv_length, c_argv, combined_parse_method );
- | ^~~~~~
- | |
- | const char **
- In file included from /usr/include/plplot/plplotP.h:151,
- from plplot_impl.c:29:
- /usr/include/plplot/plplot.h:2305:46: note: expected 'PLCHAR_NC_MATRIX' {aka 'char **'} but argument is of type 'const char **'
- 2305 | c_plparseopts( int *p_argc, PLCHAR_NC_MATRIX argv, PLINT mode );
- | ~~~~~~~~~~~~~~~~~^~~~
[ERROR] The compilation of plplot.5.12.0 failed at "dune build -p plplot -j 255".
Processing 55/67: [base: dune build] [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
Processing 56/67: [base: dune build] [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "base" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/base.v0.13.2)
-> compiled base.v0.13.2
Processing 56/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
-> installed base.v0.13.2
Processing 57/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
Processing 58/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml] [stdio: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "stdio" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/stdio.v0.13.0)
-> compiled stdio.v0.13.0
Processing 58/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
-> installed stdio.v0.13.0
Processing 59/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
Processing 60/67: [configurator: jbuilder build] [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "jbuilder" "build" "-p" "configurator" "-j" "255" (CWD=/home/opam/.opam/4.08/.opam-switch/build/configurator.v0.11.0)
- ocamlc src/.configurator.objs/configurator.{cmo,cmt}
- File "src/configurator.ml", line 8, characters 20-35:
- 8 | module Pervasives = Caml.Pervasives
- ^^^^^^^^^^^^^^^
- Alert deprecated: module Caml.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- ocamlopt src/.configurator.objs/configurator.{cmx,o}
- File "src/configurator.ml", line 8, characters 20-35:
- 8 | module Pervasives = Caml.Pervasives
- ^^^^^^^^^^^^^^^
- Alert deprecated: module Caml.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-> compiled configurator.v0.11.0
Processing 60/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
-> installed configurator.v0.11.0
Processing 61/67: [ctypes: make ctypes-base] [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "make" "XEN=disable" "ctypes-base" "ctypes-stubs" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0)
- ./src/discover/determine_as_needed_flags.sh >> asneeded.config
- ocamlfind ocamlc -o gen_c_primitives -package str,bytes -strict-sequence -linkpkg src/configure/extract_from_c.ml src/configure/gen_c_primitives.ml -I src/configure
- ./gen_c_primitives > src/ctypes/ctypes_primitives.ml 2> gen_c_primitives.log || (rm src/ctypes/ctypes_primitives.ml && cat gen_c_primitives.log || false)
- ocamlfind ocamlc -o gen_libffi_abi -package str,bytes -strict-sequence -linkpkg src/configure/extract_from_c.ml src/configure/gen_libffi_abi.ml -I src/configure
- ./gen_libffi_abi > src/ctypes-foreign-base/libffi_abi.ml 2> gen_c_primitives.log || (rm src/ctypes-foreign-base/libffi_abi.ml && cat gen_c_primitives.log || false)
- cp src/ctypes-foreign-base/dl.ml.unix src/ctypes-foreign-base/dl.ml
- cp src/ctypes-foreign-base/dl_stubs.c.unix src/ctypes-foreign-base/dl_stubs.c
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_ptr.cmo -I _build/src/ctypes src/ctypes/ctypes_ptr.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_roots_stubs.cmo -I _build/src/ctypes src/ctypes/ctypes_roots_stubs.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/lDouble.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/lDouble.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/lDouble.cmo -I _build/src/ctypes src/ctypes/lDouble.ml
- File "src/ctypes/lDouble.ml", line 80, characters 0-70:
- 80 | external mant_dig_ : unit -> int = "ctypes_ldouble_mant_dig" "noalloc"
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: [@@noalloc] should be used instead of "noalloc"
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_bigarray_stubs.cmo -I _build/src/ctypes src/ctypes/ctypes_bigarray_stubs.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/complexL.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/complexL.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/complexL.cmo -I _build/src/ctypes src/ctypes/complexL.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_primitive_types.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_primitive_types.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_primitive_types.cmo -I _build/src/ctypes src/ctypes/ctypes_primitive_types.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_primitives.cmo -I _build/src/ctypes src/ctypes/ctypes_primitives.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_value_printing_stubs.cmo -I _build/src/ctypes src/ctypes/ctypes_value_printing_stubs.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_memory_stubs.cmo -I _build/src/ctypes src/ctypes/ctypes_memory_stubs.ml
- File "src/ctypes/ctypes_memory_stubs.ml", line 50, characters 0-58:
- 50 | external use_value : 'a -> unit
- 51 | = "ctypes_use" "noalloc"
- Alert deprecated: [@@noalloc] should be used instead of "noalloc"
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_bigarray.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_bigarray.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_bigarray.cmo -I _build/src/ctypes src/ctypes/ctypes_bigarray.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_static.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_static.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_static.cmo -I _build/src/ctypes src/ctypes/ctypes_static.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_std_view_stubs.cmo -I _build/src/ctypes src/ctypes/ctypes_std_view_stubs.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_structs.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_structs.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_structs.cmo -I _build/src/ctypes src/ctypes/ctypes_structs.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_structs_computed.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_structs_computed.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_structs_computed.cmo -I _build/src/ctypes src/ctypes/ctypes_structs_computed.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_type_printing.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_type_printing.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_type_printing.cmo -I _build/src/ctypes src/ctypes/ctypes_type_printing.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_memory.cmo -I _build/src/ctypes src/ctypes/ctypes_memory.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_coerce.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_coerce.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_coerce.cmo -I _build/src/ctypes src/ctypes/ctypes_coerce.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_std_views.cmo -I _build/src/ctypes src/ctypes/ctypes_std_views.ml
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes_value_printing.cmo -I _build/src/ctypes src/ctypes/ctypes_value_printing.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes_types.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes_types.mli
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/ctypes.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/ctypes.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/ctypes.cmo -I _build/src/ctypes src/ctypes/ctypes.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/cstubs_internals.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/cstubs_internals.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/cstubs_internals.cmo -I _build/src/ctypes src/ctypes/cstubs_internals.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes/posixTypes.cmi -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes src/ctypes/posixTypes.mli
- ocamlfind ocamlc -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes/posixTypes.cmo -I _build/src/ctypes src/ctypes/posixTypes.ml
- ocamlfind ocamlc -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -cclib -lctypes_stubs -dllib -lctypes_stubs -cclib -lintegers_stubs -dllib -lintegers_stubs -package bigarray -package bytes -package integers -o _build/ctypes.cma _build/src/ctypes/ctypes_ptr.cmo _build/src/ctypes/ctypes_roots_stubs.cmo _build/src/ctypes/lDouble.cmo _build/src/ctypes/ctypes_bigarray_stubs.cmo _build/src/ctypes/complexL.cmo _build/src/ctypes/ctypes_primitive_types.cmo _build/src/ctypes/ctypes_primitives.cmo _build/src/ctypes/ctypes_value_printing_stubs.cmo _build/src/ctypes/ctypes_memory_stubs.cmo _build/src/ctypes/ctypes_bigarray.cmo _build/src/ctypes/ctypes_static.cmo _build/src/ctypes/ctypes_std_view_stubs.cmo _build/src/ctypes/ctypes_structs.cmo _build/src/ctypes/ctypes_structs_computed.cmo _build/src/ctypes/ctypes_type_printing.cmo _build/src/ctypes/ctypes_memory.cmo _build/src/ctypes/ctypes_coerce.cmo _build/src/ctypes/ctypes_std_views.cmo _build/src/ctypes/ctypes_value_printing.cmo _build/src/ctypes/ctypes.cmo _build/src/ctypes/cstubs_internals.cmo _build/src/ctypes/posixTypes.cmo -cclib -Wl,--no-as-needed
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o complex_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/complex_stubs.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o ctypes_bigarrays.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/ctypes_bigarrays.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o ctypes_roots.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/ctypes_roots.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o ldouble_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/ldouble_stubs.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o managed_buffer_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/managed_buffer_stubs.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o posix_types_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/posix_types_stubs.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o raw_pointer_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/raw_pointer_stubs.c
- cd _build/src/ctypes && ocamlfind ocamlc -c -package bigarray -package bytes -package integers -ccopt -fPIC -ccopt -Wall -ccopt -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes -ccopt -I -ccopt /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/tests -o type_info_stubs.o -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" /home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0/src/ctypes/type_info_stubs.c
- ocamlfind ocamlmklib -o _build/ctypes_stubs _build/src/ctypes/complex_stubs.o _build/src/ctypes/ctypes_bigarrays.o _build/src/ctypes/ctypes_roots.o _build/src/ctypes/ldouble_stubs.o _build/src/ctypes/managed_buffer_stubs.o _build/src/ctypes/posix_types_stubs.o _build/src/ctypes/raw_pointer_stubs.o _build/src/ctypes/type_info_stubs.o
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_ptr.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_ptr.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_roots_stubs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_roots_stubs.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/lDouble.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/lDouble.ml
- File "src/ctypes/lDouble.ml", line 80, characters 0-70:
- 80 | external mant_dig_ : unit -> int = "ctypes_ldouble_mant_dig" "noalloc"
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Alert deprecated: [@@noalloc] should be used instead of "noalloc"
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_bigarray_stubs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_bigarray_stubs.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/complexL.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/complexL.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_primitive_types.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_primitive_types.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_primitives.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_primitives.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_value_printing_stubs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_value_printing_stubs.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_memory_stubs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_memory_stubs.ml
- File "src/ctypes/ctypes_memory_stubs.ml", line 50, characters 0-58:
- 50 | external use_value : 'a -> unit
- 51 | = "ctypes_use" "noalloc"
- Alert deprecated: [@@noalloc] should be used instead of "noalloc"
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_bigarray.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_bigarray.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_static.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_static.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_std_view_stubs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_std_view_stubs.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_structs.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_structs.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_structs_computed.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_structs_computed.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_type_printing.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_type_printing.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_memory.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_memory.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_coerce.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_coerce.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_std_views.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_std_views.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes_value_printing.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes_value_printing.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/ctypes.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/ctypes.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/cstubs_internals.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/cstubs_internals.ml
- ocamlfind opt -bin-annot -c -o _build/src/ctypes/posixTypes.cmx -package bigarray -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -I _build/src/ctypes src/ctypes/posixTypes.ml
- ocamlfind opt -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -cclib -lctypes_stubs -cclib -lintegers_stubs -o _build/ctypes.cmxa _build/src/ctypes/ctypes_ptr.cmx _build/src/ctypes/ctypes_roots_stubs.cmx _build/src/ctypes/lDouble.cmx _build/src/ctypes/ctypes_bigarray_stubs.cmx _build/src/ctypes/complexL.cmx _build/src/ctypes/ctypes_primitive_types.cmx _build/src/ctypes/ctypes_primitives.cmx _build/src/ctypes/ctypes_value_printing_stubs.cmx _build/src/ctypes/ctypes_memory_stubs.cmx _build/src/ctypes/ctypes_bigarray.cmx _build/src/ctypes/ctypes_static.cmx _build/src/ctypes/ctypes_std_view_stubs.cmx _build/src/ctypes/ctypes_structs.cmx _build/src/ctypes/ctypes_structs_computed.cmx _build/src/ctypes/ctypes_type_printing.cmx _build/src/ctypes/ctypes_memory.cmx _build/src/ctypes/ctypes_coerce.cmx _build/src/ctypes/ctypes_std_views.cmx _build/src/ctypes/ctypes_value_printing.cmx _build/src/ctypes/ctypes.cmx _build/src/ctypes/cstubs_internals.cmx _build/src/ctypes/posixTypes.cmx -cclib -Wl,--no-as-needed
- ocamlfind opt -shared -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package bigarray -package bytes -package integers -o _build/ctypes.cmxs _build/src/ctypes/ctypes_ptr.cmx _build/src/ctypes/ctypes_roots_stubs.cmx _build/src/ctypes/lDouble.cmx _build/src/ctypes/ctypes_bigarray_stubs.cmx _build/src/ctypes/complexL.cmx _build/src/ctypes/ctypes_primitive_types.cmx _build/src/ctypes/ctypes_primitives.cmx _build/src/ctypes/ctypes_value_printing_stubs.cmx _build/src/ctypes/ctypes_memory_stubs.cmx _build/src/ctypes/ctypes_bigarray.cmx _build/src/ctypes/ctypes_static.cmx _build/src/ctypes/ctypes_std_view_stubs.cmx _build/src/ctypes/ctypes_structs.cmx _build/src/ctypes/ctypes_structs_computed.cmx _build/src/ctypes/ctypes_type_printing.cmx _build/src/ctypes/ctypes_memory.cmx _build/src/ctypes/ctypes_coerce.cmx _build/src/ctypes/ctypes_std_views.cmx _build/src/ctypes/ctypes_value_printing.cmx _build/src/ctypes/ctypes.cmx _build/src/ctypes/cstubs_internals.cmx _build/src/ctypes/posixTypes.cmx _build/src/ctypes/complex_stubs.o _build/src/ctypes/ctypes_bigarrays.o _build/src/ctypes/ctypes_roots.o _build/src/ctypes/ldouble_stubs.o _build/src/ctypes/managed_buffer_stubs.o _build/src/ctypes/posix_types_stubs.o _build/src/ctypes/raw_pointer_stubs.o _build/src/ctypes/type_info_stubs.o -cclib -Wl,--no-as-needed
- ocamlfind ocamlopt -bin-annot -c -o _build/src/ctypes-top/ctypes_printers.cmi -package compiler-libs -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/ctypes-top -I _build/src/ctypes src/ctypes-top/ctypes_printers.mli
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind ocamlc -package compiler-libs -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes-top/ctypes_printers.cmo -I _build/src/ctypes-top -I _build/src/ctypes src/ctypes-top/ctypes_printers.ml
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind ocamlc -package compiler-libs -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/ctypes-top/install_ctypes_printers.cmo -I _build/src/ctypes-top -I _build/src/ctypes src/ctypes-top/install_ctypes_printers.ml
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind ocamlc -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package compiler-libs -package integers -o _build/ctypes-top.cma _build/src/ctypes-top/ctypes_printers.cmo _build/src/ctypes-top/install_ctypes_printers.cmo -cclib -Wl,--no-as-needed
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind opt -bin-annot -c -o _build/src/ctypes-top/ctypes_printers.cmx -package compiler-libs -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package compiler-libs -package integers -I _build/src/ctypes-top -I _build/src/ctypes src/ctypes-top/ctypes_printers.ml
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind opt -bin-annot -c -o _build/src/ctypes-top/install_ctypes_printers.cmx -package compiler-libs -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package compiler-libs -package integers -I _build/src/ctypes-top -I _build/src/ctypes src/ctypes-top/install_ctypes_printers.ml
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- File "_none_", line 1:
- Warning 58: no cmx file was found in path for module Toploop, and its interface was not compiled with -opaque
- ocamlfind opt -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package compiler-libs -package integers -o _build/ctypes-top.cmxa _build/src/ctypes-top/ctypes_printers.cmx _build/src/ctypes-top/install_ctypes_printers.cmx -cclib -Wl,--no-as-needed
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind opt -shared -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package compiler-libs -package integers -o _build/ctypes-top.cmxs _build/src/ctypes-top/ctypes_printers.cmx _build/src/ctypes-top/install_ctypes_printers.cmx -cclib -Wl,--no-as-needed
- findlib: [WARNING] Interface topdirs.cmi occurs in several directories: /home/opam/.opam/4.08/lib/ocaml, /home/opam/.opam/4.08/lib/ocaml/compiler-libs
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_analysis.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_analysis.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_analysis.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_analysis.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_errors.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_errors.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_errors.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_errors.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/ctypes_path.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/ctypes_path.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/ctypes_path.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/ctypes_path.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_public_name.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_public_name.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_public_name.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_public_name.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_generate_ml.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_ml.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_generate_ml.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_ml.ml
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_c_language.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_c_language.ml
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_emit_c.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_emit_c.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_generate_c.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_c.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_generate_c.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_c.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_inverted.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_inverted.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_inverted.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_inverted.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs_structs.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_structs.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs_structs.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_structs.ml
- ocamlfind ocamlopt -bin-annot -c -o _build/src/cstubs/cstubs.cmi -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs.mli
- ocamlfind ocamlc -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -c -o _build/src/cstubs/cstubs.cmo -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs.ml
- ocamlfind ocamlc -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -o _build/cstubs.cma _build/src/cstubs/cstubs_analysis.cmo _build/src/cstubs/cstubs_errors.cmo _build/src/cstubs/ctypes_path.cmo _build/src/cstubs/cstubs_public_name.cmo _build/src/cstubs/cstubs_generate_ml.cmo _build/src/cstubs/cstubs_c_language.cmo _build/src/cstubs/cstubs_emit_c.cmo _build/src/cstubs/cstubs_generate_c.cmo _build/src/cstubs/cstubs_inverted.cmo _build/src/cstubs/cstubs_structs.cmo _build/src/cstubs/cstubs.cmo -cclib -Wl,--no-as-needed
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_analysis.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_analysis.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_errors.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_errors.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/ctypes_path.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/ctypes_path.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_public_name.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_public_name.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_generate_ml.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_ml.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_c_language.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_c_language.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_emit_c.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_emit_c.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_generate_c.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_generate_c.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_inverted.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_inverted.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs_structs.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs_structs.ml
- ocamlfind opt -bin-annot -c -o _build/src/cstubs/cstubs.cmx -package str -package bytes -package integers -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -I _build/src/cstubs -I _build/src/ctypes src/cstubs/cstubs.ml
- ocamlfind opt -a -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -o _build/cstubs.cmxa _build/src/cstubs/cstubs_analysis.cmx _build/src/cstubs/cstubs_errors.cmx _build/src/cstubs/ctypes_path.cmx _build/src/cstubs/cstubs_public_name.cmx _build/src/cstubs/cstubs_generate_ml.cmx _build/src/cstubs/cstubs_c_language.cmx _build/src/cstubs/cstubs_emit_c.cmx _build/src/cstubs/cstubs_generate_c.cmx _build/src/cstubs/cstubs_inverted.cmx _build/src/cstubs/cstubs_structs.cmx _build/src/cstubs/cstubs.cmx -cclib -Wl,--no-as-needed
- ocamlfind opt -shared -linkall -principal -short-paths -strict-sequence -g -ccopt "-I/home/opam/.opam/4.08/lib/integers" -package str -package bytes -package integers -o _build/cstubs.cmxs _build/src/cstubs/cstubs_analysis.cmx _build/src/cstubs/cstubs_errors.cmx _build/src/cstubs/ctypes_path.cmx _build/src/cstubs/cstubs_public_name.cmx _build/src/cstubs/cstubs_generate_ml.cmx _build/src/cstubs/cstubs_c_language.cmx _build/src/cstubs/cstubs_emit_c.cmx _build/src/cstubs/cstubs_generate_c.cmx _build/src/cstubs/cstubs_inverted.cmx _build/src/cstubs/cstubs_structs.cmx _build/src/cstubs/cstubs.cmx -cclib -Wl,--no-as-needed
-> compiled ctypes.0.16.0
Processing 61/67: [oasis: ocaml setup.ml]
Processing 62/67: [oasis: ocaml setup.ml] [ctypes: make install]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "make" "install" "XEN=disable" (CWD=/home/opam/.opam/4.08/.opam-switch/build/ctypes.0.16.0)
- ocamlfind install ctypes META CHANGES.md
- Installed /home/opam/.opam/4.08/lib/ctypes/CHANGES.md
- Installed /home/opam/.opam/4.08/lib/ctypes/META
- ocamlfind install -add ctypes -optional _build/ctypes.cma _build/dllctypes_stubs.so _build/ctypes.cmxa _build/ctypes.cmxs _build/libctypes_stubs.a _build/ctypes.a src/ctypes/lDouble.mli src/ctypes/complexL.mli src/ctypes/ctypes.mli src/ctypes/posixTypes.mli src/ctypes/ctypes_types.mli _build/src/ctypes/lDouble.cmi _build/src/ctypes/complexL.cmi _build/src/ctypes/ctypes.cmi _build/src/ctypes/posixTypes.cmi _build/src/ctypes/ctypes_types.cmi _build/src/ctypes/ctypes_static.cmi _build/src/ctypes/ctypes_primitive_types.cmi _build/src/ctypes/ctypes_structs.cmi _build/src/ctypes/cstubs_internals.cmi _build/src/ctypes/lDouble.cmt _build/src/ctypes/complexL.cmt _build/src/ctypes/ctypes.cmt _build/src/ctypes/posixTypes.cmt _build/src/ctypes/ctypes_types.cmt _build/src/ctypes/lDouble.cmti _build/src/ctypes/complexL.cmti _build/src/ctypes/ctypes.cmti _build/src/ctypes/posixTypes.cmti _build/src/ctypes/ctypes_types.cmti src/ctypes/cstubs_internals.h src/ctypes/ctypes_complex_compatibility.h src/ctypes/ctypes_complex_stubs.h src/ctypes/ctypes_cstubs_internals.h src/ctypes/ctypes_ldouble_stubs.h src/ctypes/ctypes_managed_buffer_stubs.h src/ctypes/ctypes_primitives.h src/ctypes/ctypes_raw_pointer.h src/ctypes/ctypes_type_info_stubs.h _build/src/ctypes/ctypes_ptr.cmx _build/src/ctypes/ctypes_roots_stubs.cmx _build/src/ctypes/lDouble.cmx _build/src/ctypes/ctypes_bigarray_stubs.cmx _build/src/ctypes/complexL.cmx _build/src/ctypes/ctypes_primitive_types.cmx _build/src/ctypes/ctypes_primitives.cmx _build/src/ctypes/ctypes_value_printing_stubs.cmx _build/src/ctypes/ctypes_memory_stubs.cmx _build/src/ctypes/ctypes_bigarray.cmx _build/src/ctypes/ctypes_static.cmx _build/src/ctypes/ctypes_std_view_stubs.cmx _build/src/ctypes/ctypes_structs.cmx _build/src/ctypes/ctypes_structs_computed.cmx _build/src/ctypes/ctypes_type_printing.cmx _build/src/ctypes/ctypes_memory.cmx _build/src/ctypes/ctypes_coerce.cmx _build/src/ctypes/ctypes_std_views.cmx _build/src/ctypes/ctypes_value_printing.cmx _build/src/ctypes/ctypes.cmx _build/src/ctypes/cstubs_internals.cmx _build/src/ctypes/posixTypes.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/posixTypes.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_internals.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_value_printing.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_std_views.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_coerce.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_memory.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_type_printing.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_structs_computed.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_structs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_std_view_stubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_static.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_bigarray.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_memory_stubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_value_printing_stubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_primitives.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_primitive_types.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/complexL.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_bigarray_stubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/lDouble.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_roots_stubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_ptr.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_type_info_stubs.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_raw_pointer.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_primitives.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_managed_buffer_stubs.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_ldouble_stubs.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_cstubs_internals.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_complex_stubs.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_complex_compatibility.h
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_internals.h
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_types.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/posixTypes.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/complexL.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/lDouble.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/posixTypes.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/complexL.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/lDouble.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_internals.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_structs.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_primitive_types.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_static.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_types.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/posixTypes.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/complexL.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/lDouble.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_types.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/posixTypes.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/complexL.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/lDouble.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.a
- Installed /home/opam/.opam/4.08/lib/ctypes/libctypes_stubs.a
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmxs
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cmxa
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes.cma
- Installed /home/opam/.opam/4.08/lib/stublibs/dllctypes_stubs.so
- Installed /home/opam/.opam/4.08/lib/stublibs/dllctypes_stubs.so.owner
- ocamlfind: [WARNING] You have installed DLLs but the directory /home/opam/.opam/4.08/lib/stublibs is not mentioned in ld.conf
- ocamlfind install -add ctypes -optional _build/ctypes-top.cma _build/ctypes-top.cmxa _build/ctypes-top.cmxs _build/ctypes-top.a src/ctypes-top/ctypes_printers.mli _build/src/ctypes-top/ctypes_printers.cmi _build/src/ctypes-top/ctypes_printers.cmt _build/src/ctypes-top/ctypes_printers.cmti _build/src/ctypes-top/ctypes_printers.cmx _build/src/ctypes-top/install_ctypes_printers.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/install_ctypes_printers.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_printers.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_printers.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_printers.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_printers.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_printers.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes-top.a
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes-top.cmxs
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes-top.cmxa
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes-top.cma
- ocamlfind install -add ctypes -optional _build/ctypes-foreign-base.cma _build/dllctypes-foreign-base_stubs.so _build/ctypes-foreign-base.cmxa _build/ctypes-foreign-base.cmxs _build/libctypes-foreign-base_stubs.a _build/ctypes-foreign-base.a src/ctypes-foreign-base/dl.mli src/ctypes-foreign-base/libffi_abi.mli _build/src/ctypes-foreign-base/dl.cmi _build/src/ctypes-foreign-base/libffi_abi.cmi _build/src/ctypes-foreign-base/dl.cmt _build/src/ctypes-foreign-base/libffi_abi.cmt _build/src/ctypes-foreign-base/dl.cmti _build/src/ctypes-foreign-base/libffi_abi.cmti _build/src/ctypes-foreign-base/ctypes_closure_properties.cmx _build/src/ctypes-foreign-base/ctypes_ffi_stubs.cmx _build/src/ctypes-foreign-base/ctypes_weak_ref.cmx _build/src/ctypes-foreign-base/dl.cmx _build/src/ctypes-foreign-base/libffi_abi.cmx _build/src/ctypes-foreign-base/ctypes_ffi.cmx _build/src/ctypes-foreign-base/ctypes_foreign_basis.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/libffi_abi.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/dl.mli
- ocamlfind install -add ctypes -optional _build/ctypes-foreign-threaded.cma _build/dllctypes-foreign-threaded_stubs.so _build/ctypes-foreign-threaded.cmxa _build/ctypes-foreign-threaded.cmxs _build/libctypes-foreign-threaded_stubs.a _build/ctypes-foreign-threaded.a src/ctypes-foreign-threaded/foreign.mli _build/src/ctypes-foreign-threaded/foreign.cmi _build/src/ctypes-foreign-threaded/foreign.cmt _build/src/ctypes-foreign-threaded/foreign.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/foreign.mli
- ocamlfind install -add ctypes -optional _build/ctypes-foreign-unthreaded.cma _build/ctypes-foreign-unthreaded.cmxa _build/ctypes-foreign-unthreaded.cmxs _build/ctypes-foreign-unthreaded.a src/ctypes-foreign-unthreaded/foreign.mli _build/src/ctypes-foreign-unthreaded/foreign.cmi _build/src/ctypes-foreign-unthreaded/foreign.cmt _build/src/ctypes-foreign-unthreaded/foreign.cmti
- ocamlfind: [WARNING] Overwriting file /home/opam/.opam/4.08/lib/ctypes/foreign.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/foreign.mli
- ocamlfind install -add ctypes -optional _build/cstubs.cma _build/cstubs.cmxa _build/cstubs.cmxs _build/cstubs.a src/cstubs/cstubs_structs.mli src/cstubs/cstubs.mli src/cstubs/cstubs_inverted.mli _build/src/cstubs/cstubs_structs.cmi _build/src/cstubs/cstubs.cmi _build/src/cstubs/cstubs_inverted.cmi _build/src/cstubs/cstubs_structs.cmt _build/src/cstubs/cstubs.cmt _build/src/cstubs/cstubs_inverted.cmt _build/src/cstubs/cstubs_structs.cmti _build/src/cstubs/cstubs.cmti _build/src/cstubs/cstubs_inverted.cmti /home/opam/.opam/4.08/lib/integers/ocaml_integers.h _build/src/cstubs/cstubs_analysis.cmx _build/src/cstubs/cstubs_errors.cmx _build/src/cstubs/ctypes_path.cmx _build/src/cstubs/cstubs_public_name.cmx _build/src/cstubs/cstubs_generate_ml.cmx _build/src/cstubs/cstubs_c_language.cmx _build/src/cstubs/cstubs_emit_c.cmx _build/src/cstubs/cstubs_generate_c.cmx _build/src/cstubs/cstubs_inverted.cmx _build/src/cstubs/cstubs_structs.cmx _build/src/cstubs/cstubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_structs.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_inverted.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_generate_c.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_emit_c.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_c_language.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_generate_ml.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_public_name.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ctypes_path.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_errors.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_analysis.cmx
- Installed /home/opam/.opam/4.08/lib/ctypes/ocaml_integers.h
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_inverted.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_structs.cmti
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_inverted.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_structs.cmt
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_inverted.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_structs.cmi
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_inverted.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs_structs.mli
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.a
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmxs
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cmxa
- Installed /home/opam/.opam/4.08/lib/ctypes/cstubs.cma
-> installed ctypes.0.16.0
Processing 62/67: [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-build" (CWD=/home/opam/.opam/4.08/.opam-switch/build/oasis.0.4.11)
- File "src/oasis/OASISFeatures.ml", line 32, characters 22-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/BaseEnv.ml", line 210, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + ocamlfind ocamlopt unix.cmxa -I /home/opam/.opam/4.08/lib/ocamlbuild /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuildlib.cmxa -linkpkg myocamlbuild.ml /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuild.cmx -o myocamlbuild
- File "test/data/TestFull/dev/_tags", line 27, characters 8-17:
- Warning: the tag "pkg_oUnit" is not used in any flag or dependency declaration, so it will have no effect; it may be a typo. Otherwise you can use `mark_tag_used` in your myocamlbuild.ml to disable this warning.
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/FormatExt.mli > src/oasis/FormatExt.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/FormatExt.cmi src/oasis/FormatExt.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/FormatExt.ml > src/oasis/FormatExt.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISString.ml > src/oasis/OASISString.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISString.cmo src/oasis/OASISString.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/PropList.mli > src/oasis/PropList.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/PropList.cmi src/oasis/PropList.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/PropList.ml > src/oasis/PropList.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISGettext.mli > src/oasis/OASISGettext.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISGettext.cmi src/oasis/OASISGettext.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISUtils.mli > src/oasis/OASISUtils.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISUtils.cmi src/oasis/OASISUtils.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISUtils.ml > src/oasis/OASISUtils.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISUnixPath.mli > src/oasis/OASISUnixPath.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISUnixPath.cmi src/oasis/OASISUnixPath.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISUnixPath.ml > src/oasis/OASISUnixPath.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISPath_intern.ml > src/oasis/OASISPath_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISPath_intern.cmo src/oasis/OASISPath_intern.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFileSystem.mli > src/oasis/OASISFileSystem.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileSystem.cmi src/oasis/OASISFileSystem.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFileSystem.ml > src/oasis/OASISFileSystem.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISContext.mli > src/oasis/OASISContext.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISContext.cmi src/oasis/OASISContext.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISContext.ml > src/oasis/OASISContext.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSourcePatterns.mli > src/oasis/OASISSourcePatterns.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISDataNotation.ml > src/oasis/OASISDataNotation.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISDataNotation.cmo src/oasis/OASISDataNotation.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSourcePatterns.cmi src/oasis/OASISSourcePatterns.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSourcePatterns.ml > src/oasis/OASISSourcePatterns.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISGettext.ml > src/oasis/OASISGettext.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISMessage.mli > src/oasis/OASISMessage.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISMessage.cmi src/oasis/OASISMessage.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISMessage.ml > src/oasis/OASISMessage.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISText.ml > src/oasis/OASISText.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISValues.mli > src/oasis/OASISValues.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISValues.cmi src/oasis/OASISValues.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISTypes.mli > src/oasis/OASISTypes.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISExpr.mli > src/oasis/OASISExpr.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISLicense.mli > src/oasis/OASISLicense.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISVersion.mli > src/oasis/OASISVersion.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISVersion.cmi src/oasis/OASISVersion.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISText.cmo src/oasis/OASISText.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISExpr.cmi src/oasis/OASISExpr.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense.cmi src/oasis/OASISLicense.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISTypes.cmi src/oasis/OASISTypes.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISTypes.ml > src/oasis/OASISTypes.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISParse.mli > src/oasis/OASISParse.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISParse.cmi src/oasis/OASISParse.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISParse.ml > src/oasis/OASISParse.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISAst.ml > src/oasis/OASISAst.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISAst_types.ml > src/oasis/OASISAst_types.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISBuildSection.mli > src/oasis/OASISBuildSection.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSection.mli > src/oasis/OASISSection.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSection.cmi src/oasis/OASISSection.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISCheck.ml > src/oasis/OASISCheck.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFeatures.ml > src/oasis/OASISFeatures.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISPlugin.mli > src/oasis/OASISPlugin.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFileTemplate.mli > src/oasis/OASISFileTemplate.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSetupUpdate.ml > src/oasis/OASISSetupUpdate.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileTemplate.cmi src/oasis/OASISFileTemplate.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSetupUpdate.cmo src/oasis/OASISSetupUpdate.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSchema_intern.ml > src/oasis/OASISSchema_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst_types.cmo src/oasis/OASISAst_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFeatures.cmo src/oasis/OASISFeatures.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFeatures.cmo src/oasis/OASISFeatures.ml
- File "src/oasis/OASISFeatures.ml", line 32, characters 20-38:
- 32 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISPlugin.cmi src/oasis/OASISPlugin.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSchema_intern.cmo src/oasis/OASISSchema_intern.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISDocument.mli > src/oasis/OASISDocument.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSchema.mli > src/oasis/OASISSchema.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSchema.cmi src/oasis/OASISSchema.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISDocument_intern.ml > src/oasis/OASISDocument_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISBuildSection_intern.ml > src/oasis/OASISBuildSection_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISCustom.ml > src/oasis/OASISCustom.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISSection_intern.ml > src/oasis/OASISSection_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISBuildSection_intern.cmo src/oasis/OASISBuildSection_intern.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISCustom.cmo src/oasis/OASISCustom.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSection_intern.cmo src/oasis/OASISSection_intern.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISExecutable.mli > src/oasis/OASISExecutable.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISExecutable_intern.ml > src/oasis/OASISExecutable_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFindlib.mli > src/oasis/OASISFindlib.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFlag.mli > src/oasis/OASISFlag.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISFlag_intern.ml > src/oasis/OASISFlag_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISLibrary.mli > src/oasis/OASISLibrary.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISLibrary_intern.ml > src/oasis/OASISLibrary_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISObject.mli > src/oasis/OASISObject.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISObject_intern.ml > src/oasis/OASISObject_intern.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/oasis/OASISPackage.mli > src/oasis/OASISPackage.mli.depends
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISPlugin.cmo src/oasis/OASISPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFindlib.cmo src/oasis/OASISFindlib.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSchema.cmo src/oasis/OASISSchema.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSection.cmo src/oasis/OASISSection.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISExec.cmo src/oasis/OASISExec.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileUtil.cmo src/oasis/OASISFileUtil.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISHostPath.cmo src/oasis/OASISHostPath.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISVersion_parser.cmo src/oasis/OASISVersion_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense_parser.cmo src/oasis/OASISLicense_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst_parser.cmo src/oasis/OASISAst_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISQuickstart.cmo src/oasis/OASISQuickstart.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISHelp.cmo src/oasis/OASISHelp.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/oasis src/oasis/OASISString.cmo src/oasis/FormatExt.cmo src/oasis/OASISGettext.cmo src/oasis/PropList.cmo src/oasis/OASISUtils.cmo src/oasis/OASISPath_intern.cmo src/oasis/OASISUnixPath.cmo src/oasis/OASISFileSystem.cmo src/oasis/OASISContext.cmo src/oasis/OASISDataNotation.cmo src/oasis/OASISSourcePatterns.cmo src/oasis/OASISMessage.cmo src/oasis/OASISValues_lexer.cmo src/oasis/OASISValues.cmo src/oasis/OASISText.cmo src/oasis/OASISExpr.cmo src/oasis/OASISLicense_types.cmo src/oasis/OASISLicense_parser.cmo src/oasis/OASISLicense_lexer.cmo src/oasis/OASISVersion_types.cmo src/oasis/OASISVersion_parser.cmo src/oasis/OASISVersion_lexer.cmo src/oasis/OASISVersion.cmo src/oasis/OASISLicense.cmo src/oasis/OASISTypes.cmo src/oasis/OASISAst_types.cmo src/oasis/OASISGraph.cmo src/oasis/OASISSection.cmo src/oasis/OASISBuildSection.cmo src/oasis/OASISFeatures.cmo src/oasis/OASISConf.cmo src/oasis/OASISExec.cmo src/oasis/OASISFileUtil.cmo src/oasis/OASISHostPath.cmo src/oasis/OASISFileTemplate.cmo src/oasis/OASISSetupUpdate.cmo src/oasis/OASISPlugin.cmo src/oasis/OASISSchema_intern.cmo src/oasis/OASISCheck.cmo src/oasis/OASISBuildSection_intern.cmo src/oasis/OASISCustom.cmo src/oasis/OASISSection_intern.cmo src/oasis/OASISDocument_intern.cmo src/oasis/OASISSchema.cmo src/oasis/OASISDocument.cmo src/oasis/OASISExecutable_intern.cmo src/oasis/OASISExecutable.cmo src/oasis/OASISFindlib.cmo src/oasis/OASISFlag_intern.cmo src/oasis/OASISFlag.cmo src/oasis/OASISLibrary_intern.cmo src/oasis/OASISLibrary.cmo src/oasis/OASISObject_intern.cmo src/oasis/OASISObject.cmo src/oasis/OASISPackage_intern.cmo src/oasis/OASISPackage.cmo src/oasis/OASISSourceRepository_intern.cmo src/oasis/OASISSourceRepository.cmo src/oasis/OASISTest_intern.cmo src/oasis/OASISTest.cmo src/oasis/OASISAst.cmo src/oasis/OASISAst_parser.cmo src/oasis/OASISAst_lexer.cmo src/oasis/OASISMutex.cmo src/oasis/OASISParse.cmo src/oasis/OASISData.cmo src/oasis/OASISFormat.cmo src/oasis/OASISQuickstart.cmo src/oasis/OASISHelp.cmo -o src/oasis/oasis.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISString.cmx src/oasis/OASISString.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISGettext.cmx src/oasis/OASISGettext.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISUtils.cmx src/oasis/OASISUtils.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISPath_intern.cmx src/oasis/OASISPath_intern.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISUnixPath.cmx src/oasis/OASISUnixPath.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileSystem.cmx src/oasis/OASISFileSystem.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISDataNotation.cmx src/oasis/OASISDataNotation.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISContext.cmx src/oasis/OASISContext.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/FormatExt.cmx src/oasis/FormatExt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISValues_lexer.cmx src/oasis/OASISValues_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISValues.cmx src/oasis/OASISValues.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense_types.cmx src/oasis/OASISLicense_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense_parser.cmx src/oasis/OASISLicense_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISMessage.cmx src/oasis/OASISMessage.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISVersion_types.cmx src/oasis/OASISVersion_types.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISVersion_lexer.cmx src/oasis/OASISVersion_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense_lexer.cmx src/oasis/OASISLicense_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISVersion.cmx src/oasis/OASISVersion.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSourcePatterns.cmx src/oasis/OASISSourcePatterns.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISLicense.cmx src/oasis/OASISLicense.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISGraph.cmx src/oasis/OASISGraph.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSection.cmx src/oasis/OASISSection.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISExec.cmx src/oasis/OASISExec.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileUtil.cmx src/oasis/OASISFileUtil.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISConf.cmx src/oasis/OASISConf.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFileTemplate.cmx src/oasis/OASISFileTemplate.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISSetupUpdate.cmx src/oasis/OASISSetupUpdate.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst_types.cmx src/oasis/OASISAst_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFeatures.cmx src/oasis/OASISFeatures.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFeatures.cmx src/oasis/OASISFeatures.ml
- File "src/oasis/OASISFeatures.ml", line 32, characters 20-38:
- 32 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISPlugin.cmx src/oasis/OASISPlugin.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISBuildSection_intern.cmx src/oasis/OASISBuildSection_intern.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISObject.cmx src/oasis/OASISObject.ml
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISTest.cmx src/oasis/OASISTest.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst_parser.cmx src/oasis/OASISAst_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst.cmx src/oasis/OASISAst.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISAst_lexer.cmx src/oasis/OASISAst_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISMutex.cmx src/oasis/OASISMutex.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISFormat.cmx src/oasis/OASISFormat.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISData.cmx src/oasis/OASISData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISParse.cmx src/oasis/OASISParse.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISQuickstart.cmx src/oasis/OASISQuickstart.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package unix -I src/oasis -o src/oasis/OASISHelp.cmx src/oasis/OASISHelp.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/oasis src/oasis/OASISString.cmx src/oasis/FormatExt.cmx src/oasis/OASISGettext.cmx src/oasis/PropList.cmx src/oasis/OASISUtils.cmx src/oasis/OASISPath_intern.cmx src/oasis/OASISUnixPath.cmx src/oasis/OASISFileSystem.cmx src/oasis/OASISContext.cmx src/oasis/OASISDataNotation.cmx src/oasis/OASISSourcePatterns.cmx src/oasis/OASISMessage.cmx src/oasis/OASISValues_lexer.cmx src/oasis/OASISValues.cmx src/oasis/OASISText.cmx src/oasis/OASISExpr.cmx src/oasis/OASISLicense_types.cmx src/oasis/OASISLicense_parser.cmx src/oasis/OASISLicense_lexer.cmx src/oasis/OASISVersion_types.cmx src/oasis/OASISVersion_parser.cmx src/oasis/OASISVersion_lexer.cmx src/oasis/OASISVersion.cmx src/oasis/OASISLicense.cmx src/oasis/OASISTypes.cmx src/oasis/OASISAst_types.cmx src/oasis/OASISGraph.cmx src/oasis/OASISSection.cmx src/oasis/OASISBuildSection.cmx src/oasis/OASISConf.cmx src/oasis/OASISExec.cmx src/oasis/OASISFeatures.cmx src/oasis/OASISFileUtil.cmx src/oasis/OASISHostPath.cmx src/oasis/OASISFileTemplate.cmx src/oasis/OASISSetupUpdate.cmx src/oasis/OASISPlugin.cmx src/oasis/OASISSchema_intern.cmx src/oasis/OASISBuildSection_intern.cmx src/oasis/OASISCheck.cmx src/oasis/OASISCustom.cmx src/oasis/OASISSection_intern.cmx src/oasis/OASISDocument_intern.cmx src/oasis/OASISSchema.cmx src/oasis/OASISDocument.cmx src/oasis/OASISExecutable_intern.cmx src/oasis/OASISExecutable.cmx src/oasis/OASISFindlib.cmx src/oasis/OASISFlag_intern.cmx src/oasis/OASISFlag.cmx src/oasis/OASISLibrary_intern.cmx src/oasis/OASISLibrary.cmx src/oasis/OASISObject_intern.cmx src/oasis/OASISObject.cmx src/oasis/OASISPackage_intern.cmx src/oasis/OASISPackage.cmx src/oasis/OASISSourceRepository_intern.cmx src/oasis/OASISSourceRepository.cmx src/oasis/OASISTest_intern.cmx src/oasis/OASISTest.cmx src/oasis/OASISAst.cmx src/oasis/OASISAst_parser.cmx src/oasis/OASISAst_lexer.cmx src/oasis/OASISMutex.cmx src/oasis/OASISParse.cmx src/oasis/OASISData.cmx src/oasis/OASISFormat.cmx src/oasis/OASISQuickstart.cmx src/oasis/OASISHelp.cmx -o src/oasis/oasis.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I src/oasis src/oasis/oasis.cmxa src/oasis/OASISString.cmx src/oasis/FormatExt.cmx src/oasis/OASISGettext.cmx src/oasis/PropList.cmx src/oasis/OASISUtils.cmx src/oasis/OASISPath_intern.cmx src/oasis/OASISUnixPath.cmx src/oasis/OASISFileSystem.cmx src/oasis/OASISContext.cmx src/oasis/OASISDataNotation.cmx src/oasis/OASISSourcePatterns.cmx src/oasis/OASISMessage.cmx src/oasis/OASISValues_lexer.cmx src/oasis/OASISValues.cmx src/oasis/OASISText.cmx src/oasis/OASISExpr.cmx src/oasis/OASISLicense_types.cmx src/oasis/OASISLicense_parser.cmx src/oasis/OASISLicense_lexer.cmx src/oasis/OASISVersion_types.cmx src/oasis/OASISVersion_parser.cmx src/oasis/OASISVersion_lexer.cmx src/oasis/OASISVersion.cmx src/oasis/OASISLicense.cmx src/oasis/OASISTypes.cmx src/oasis/OASISAst_types.cmx src/oasis/OASISGraph.cmx src/oasis/OASISSection.cmx src/oasis/OASISBuildSection.cmx src/oasis/OASISConf.cmx src/oasis/OASISExec.cmx src/oasis/OASISFeatures.cmx src/oasis/OASISFileUtil.cmx src/oasis/OASISHostPath.cmx src/oasis/OASISFileTemplate.cmx src/oasis/OASISSetupUpdate.cmx src/oasis/OASISPlugin.cmx src/oasis/OASISSchema_intern.cmx src/oasis/OASISBuildSection_intern.cmx src/oasis/OASISCheck.cmx src/oasis/OASISCustom.cmx src/oasis/OASISSection_intern.cmx src/oasis/OASISDocument_intern.cmx src/oasis/OASISSchema.cmx src/oasis/OASISDocument.cmx src/oasis/OASISExecutable_intern.cmx src/oasis/OASISExecutable.cmx src/oasis/OASISFindlib.cmx src/oasis/OASISFlag_intern.cmx src/oasis/OASISFlag.cmx src/oasis/OASISLibrary_intern.cmx src/oasis/OASISLibrary.cmx src/oasis/OASISObject_intern.cmx src/oasis/OASISObject.cmx src/oasis/OASISPackage_intern.cmx src/oasis/OASISPackage.cmx src/oasis/OASISSourceRepository_intern.cmx src/oasis/OASISSourceRepository.cmx src/oasis/OASISTest_intern.cmx src/oasis/OASISTest.cmx src/oasis/OASISAst.cmx src/oasis/OASISAst_parser.cmx src/oasis/OASISAst_lexer.cmx src/oasis/OASISMutex.cmx src/oasis/OASISParse.cmx src/oasis/OASISData.cmx src/oasis/OASISFormat.cmx src/oasis/OASISQuickstart.cmx src/oasis/OASISHelp.cmx -o src/oasis/oasis.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseArgExt.mli > src/base/BaseArgExt.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseArgExt.cmi src/base/BaseArgExt.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseArgExt.ml > src/base/BaseArgExt.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseBuilt.mli > src/base/BaseBuilt.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseBuilt.cmi src/base/BaseBuilt.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseBuilt.ml > src/base/BaseBuilt.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseContext.mli > src/base/BaseContext.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseLog.mli > src/base/BaseLog.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseMessage.mli > src/base/BaseMessage.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseStandardVar.mli > src/base/BaseStandardVar.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseContext.cmi src/base/BaseContext.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseLog.cmi src/base/BaseLog.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseMessage.cmi src/base/BaseMessage.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseStandardVar.cmi src/base/BaseStandardVar.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseCheck.mli > src/base/BaseCheck.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCheck.cmi src/base/BaseCheck.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseCheck.ml > src/base/BaseCheck.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseEnv.mli > src/base/BaseEnv.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnv.cmi src/base/BaseEnv.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseCustom.mli > src/base/BaseCustom.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCustom.cmi src/base/BaseCustom.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseCustom.ml > src/base/BaseCustom.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseData.mli > src/base/BaseData.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseData.cmi src/base/BaseData.mli
- + ocamlify --depends --output src/base/BaseData.mlify.depends src/base/BaseData.mlify
- + ocamlmod src/base/BaseSys.mod
- + ocamlmod src/base/BaseSysEnvironment.mod
- + ocamlmod src/base/BaseSysBundle.mod
- + ocamlify --output src/base/BaseData.ml src/base/BaseData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseData.ml > src/base/BaseData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseDoc.mli > src/base/BaseDoc.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDoc.cmi src/base/BaseDoc.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseDoc.ml > src/base/BaseDoc.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseEnvLight.mli > src/base/BaseEnvLight.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnvLight.cmi src/base/BaseEnvLight.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseEnvLight.ml > src/base/BaseEnvLight.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseEnv.ml > src/base/BaseEnv.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseFileAB.mli > src/base/BaseFileAB.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseFileAB.cmi src/base/BaseFileAB.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseFileAB.ml > src/base/BaseFileAB.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseGenerate.mli > src/base/BaseGenerate.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseGenerate.cmi src/base/BaseGenerate.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseGenerate.ml > src/base/BaseGenerate.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseCompat.ml > src/base/BaseCompat.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseSetup.mli > src/base/BaseSetup.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseSetup.cmi src/base/BaseSetup.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCompat.cmo src/base/BaseCompat.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseLog.ml > src/base/BaseLog.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseOCamlcConfig.mli > src/base/BaseOCamlcConfig.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseOCamlcConfig.cmi src/base/BaseOCamlcConfig.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseOCamlcConfig.ml > src/base/BaseOCamlcConfig.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseSetup.ml > src/base/BaseSetup.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseDynVar.mli > src/base/BaseDynVar.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseTest.mli > src/base/BaseTest.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDynVar.cmi src/base/BaseDynVar.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseTest.cmi src/base/BaseTest.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseStandardVar.ml > src/base/BaseStandardVar.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseTest.ml > src/base/BaseTest.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseDynVar.ml > src/base/BaseDynVar.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseMessage.ml > src/base/BaseMessage.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -modules src/base/BaseContext.ml > src/base/BaseContext.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseArgExt.cmo src/base/BaseArgExt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseBuilt.cmo src/base/BaseBuilt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCheck.cmo src/base/BaseCheck.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCustom.cmo src/base/BaseCustom.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseData.cmo src/base/BaseData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDoc.cmo src/base/BaseDoc.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnvLight.cmo src/base/BaseEnvLight.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnv.cmo src/base/BaseEnv.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnv.cmo src/base/BaseEnv.ml
- File "src/base/BaseEnv.ml", line 210, characters 14-32:
- 210 | Pervasives.compare o2 o1)
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseFileAB.cmo src/base/BaseFileAB.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseGenerate.cmo src/base/BaseGenerate.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseLog.cmo src/base/BaseLog.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseOCamlcConfig.cmo src/base/BaseOCamlcConfig.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseSetup.cmo src/base/BaseSetup.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseStandardVar.cmo src/base/BaseStandardVar.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseTest.cmo src/base/BaseTest.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDynVar.cmo src/base/BaseDynVar.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseMessage.cmo src/base/BaseMessage.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseContext.cmo src/base/BaseContext.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/base src/base/BaseArgExt.cmo src/base/BaseContext.cmo src/base/BaseLog.cmo src/base/BaseMessage.cmo src/base/BaseEnvLight.cmo src/base/BaseEnv.cmo src/base/BaseCheck.cmo src/base/BaseOCamlcConfig.cmo src/base/BaseStandardVar.cmo src/base/BaseBuilt.cmo src/base/BaseCustom.cmo src/base/BaseData.cmo src/base/BaseDoc.cmo src/base/BaseFileAB.cmo src/base/BaseDynVar.cmo src/base/BaseTest.cmo src/base/BaseSetup.cmo src/base/BaseCompat.cmo src/base/BaseGenerate.cmo -o src/base/base.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseContext.cmx src/base/BaseContext.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnvLight.cmx src/base/BaseEnvLight.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseMessage.cmx src/base/BaseMessage.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnv.cmx src/base/BaseEnv.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseEnv.cmx src/base/BaseEnv.ml
- File "src/base/BaseEnv.ml", line 210, characters 14-32:
- 210 | Pervasives.compare o2 o1)
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCheck.cmx src/base/BaseCheck.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseOCamlcConfig.cmx src/base/BaseOCamlcConfig.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseLog.cmx src/base/BaseLog.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseStandardVar.cmx src/base/BaseStandardVar.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCustom.cmx src/base/BaseCustom.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseData.cmx src/base/BaseData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDoc.cmx src/base/BaseDoc.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseBuilt.cmx src/base/BaseBuilt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseFileAB.cmx src/base/BaseFileAB.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseDynVar.cmx src/base/BaseDynVar.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseTest.cmx src/base/BaseTest.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseSetup.cmx src/base/BaseSetup.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseCompat.cmx src/base/BaseCompat.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseArgExt.cmx src/base/BaseArgExt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -package unix -I src/base -I src/oasis -o src/base/BaseGenerate.cmx src/base/BaseGenerate.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/base src/base/BaseArgExt.cmx src/base/BaseContext.cmx src/base/BaseEnvLight.cmx src/base/BaseEnv.cmx src/base/BaseMessage.cmx src/base/BaseCheck.cmx src/base/BaseLog.cmx src/base/BaseOCamlcConfig.cmx src/base/BaseStandardVar.cmx src/base/BaseBuilt.cmx src/base/BaseCustom.cmx src/base/BaseData.cmx src/base/BaseDoc.cmx src/base/BaseFileAB.cmx src/base/BaseDynVar.cmx src/base/BaseTest.cmx src/base/BaseSetup.cmx src/base/BaseCompat.cmx src/base/BaseGenerate.cmx -o src/base/base.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I src/base src/base/base.cmxa src/base/BaseArgExt.cmx src/base/BaseContext.cmx src/base/BaseEnvLight.cmx src/base/BaseEnv.cmx src/base/BaseMessage.cmx src/base/BaseCheck.cmx src/base/BaseLog.cmx src/base/BaseOCamlcConfig.cmx src/base/BaseStandardVar.cmx src/base/BaseBuilt.cmx src/base/BaseCustom.cmx src/base/BaseData.cmx src/base/BaseDoc.cmx src/base/BaseFileAB.cmx src/base/BaseDynVar.cmx src/base/BaseTest.cmx src/base/BaseSetup.cmx src/base/BaseCompat.cmx src/base/BaseGenerate.cmx -o src/base/base.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/OASISBuiltinPlugins.ml > src/OASISBuiltinPlugins.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/custom/CustomPlugin.ml > src/plugins/custom/CustomPlugin.ml.depends
- + ocamlify --depends --output src/plugins/custom/CustomData.mlify.depends src/plugins/custom/CustomData.mlify
- + ocamlmod src/plugins/custom/CustomSys.mod
- + ocamlify --output src/plugins/custom/CustomData.ml src/plugins/custom/CustomData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/custom/CustomData.ml > src/plugins/custom/CustomData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/custom -o src/plugins/custom/CustomData.cmo src/plugins/custom/CustomData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/devfiles/DevFilesPlugin.ml > src/plugins/extra/devfiles/DevFilesPlugin.ml.depends
- + ocamlify --depends --output src/plugins/extra/devfiles/DevFilesData.mlify.depends src/plugins/extra/devfiles/DevFilesData.mlify
- + ocamlify --output src/plugins/extra/devfiles/DevFilesData.ml src/plugins/extra/devfiles/DevFilesData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/devfiles/DevFilesData.ml > src/plugins/extra/devfiles/DevFilesData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/devfiles -o src/plugins/extra/devfiles/DevFilesData.cmo src/plugins/extra/devfiles/DevFilesData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/internal/InternalConfigurePlugin.ml > src/plugins/internal/InternalConfigurePlugin.ml.depends
- + ocamlify --depends --output src/plugins/internal/InternalData.mlify.depends src/plugins/internal/InternalData.mlify
- + ocamlmod src/plugins/internal/InternalSys.mod
- + ocamlify --output src/plugins/internal/InternalData.ml src/plugins/internal/InternalData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/internal/InternalData.ml > src/plugins/internal/InternalData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/internal/InternalId.ml > src/plugins/internal/InternalId.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalData.cmo src/plugins/internal/InternalData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalId.cmo src/plugins/internal/InternalId.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/internal/InternalInstallPlugin.ml > src/plugins/internal/InternalInstallPlugin.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/META/METAPlugin.ml > src/plugins/extra/META/METAPlugin.ml.depends
- + ocamlify --depends --output src/plugins/extra/META/METAData.mlify.depends src/plugins/extra/META/METAData.mlify
- + ocamlify --output src/plugins/extra/META/METAData.ml src/plugins/extra/META/METAData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/META/METAData.ml > src/plugins/extra/META/METAData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/META -o src/plugins/extra/META/METAData.cmo src/plugins/extra/META/METAData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/none/NonePlugin.ml > src/plugins/none/NonePlugin.ml.depends
- + ocamlify --depends --output src/plugins/none/NoneData.mlify.depends src/plugins/none/NoneData.mlify
- + ocamlmod src/plugins/none/NoneSys.mod
- + ocamlify --output src/plugins/none/NoneData.ml src/plugins/none/NoneData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/none/NoneData.ml > src/plugins/none/NoneData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/none -o src/plugins/none/NoneData.cmo src/plugins/none/NoneData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/OCamlbuildDocPlugin.ml > src/plugins/ocamlbuild/OCamlbuildDocPlugin.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/OCamlbuildCommon.ml > src/plugins/ocamlbuild/OCamlbuildCommon.ml.depends
- + ocamlify --depends --output src/plugins/ocamlbuild/OCamlbuildData.mlify.depends src/plugins/ocamlbuild/OCamlbuildData.mlify
- + ocamlmod src/plugins/ocamlbuild/MyOCamlbuildSys.mod
- + ocamlmod src/plugins/ocamlbuild/OCamlbuildSys.mod
- + ocamlify --output src/plugins/ocamlbuild/OCamlbuildData.ml src/plugins/ocamlbuild/OCamlbuildData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/OCamlbuildData.ml > src/plugins/ocamlbuild/OCamlbuildData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/OCamlbuildId.ml > src/plugins/ocamlbuild/OCamlbuildId.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildData.cmo src/plugins/ocamlbuild/OCamlbuildData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildCommon.cmo src/plugins/ocamlbuild/OCamlbuildCommon.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildId.cmo src/plugins/ocamlbuild/OCamlbuildId.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/OCamlbuildPlugin.ml > src/plugins/ocamlbuild/OCamlbuildPlugin.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/MyOCamlbuildBase.ml > src/plugins/ocamlbuild/MyOCamlbuildBase.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/ocamlbuild/MyOCamlbuildFindlib.ml > src/plugins/ocamlbuild/MyOCamlbuildFindlib.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/MyOCamlbuildFindlib.cmo src/plugins/ocamlbuild/MyOCamlbuildFindlib.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/MyOCamlbuildBase.cmo src/plugins/ocamlbuild/MyOCamlbuildBase.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/omake/OMakePlugin.ml > src/plugins/omake/OMakePlugin.ml.depends
- + ocamlify --depends --output src/plugins/omake/OMakeData.mlify.depends src/plugins/omake/OMakeData.mlify
- + ocamlmod src/plugins/omake/OMakeSys.mod
- + ocamlify --output src/plugins/omake/OMakeData.ml src/plugins/omake/OMakeData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/omake/OMakeData.ml > src/plugins/omake/OMakeData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/omake/OMakeEquip.ml > src/plugins/omake/OMakeEquip.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeData.cmo src/plugins/omake/OMakeData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/omake/OMakeFields.ml > src/plugins/omake/OMakeFields.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/omake/OMakeFormat.ml > src/plugins/omake/OMakeFormat.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeFields.cmo src/plugins/omake/OMakeFields.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeFormat.cmo src/plugins/omake/OMakeFormat.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeEquip.cmo src/plugins/omake/OMakeEquip.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/stdfiles/StdFilesPlugin.ml > src/plugins/extra/stdfiles/StdFilesPlugin.ml.depends
- + ocamlify --depends --output src/plugins/extra/stdfiles/StdFilesData.mlify.depends src/plugins/extra/stdfiles/StdFilesData.mlify
- + ocamlify --output src/plugins/extra/stdfiles/StdFilesData.ml src/plugins/extra/stdfiles/StdFilesData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/plugins/extra/stdfiles/StdFilesData.ml > src/plugins/extra/stdfiles/StdFilesData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/stdfiles -o src/plugins/extra/stdfiles/StdFilesData.cmo src/plugins/extra/stdfiles/StdFilesData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/custom -o src/plugins/custom/CustomPlugin.cmo src/plugins/custom/CustomPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/devfiles -o src/plugins/extra/devfiles/DevFilesPlugin.cmo src/plugins/extra/devfiles/DevFilesPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalConfigurePlugin.cmo src/plugins/internal/InternalConfigurePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalInstallPlugin.cmo src/plugins/internal/InternalInstallPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/META -o src/plugins/extra/META/METAPlugin.cmo src/plugins/extra/META/METAPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/none -o src/plugins/none/NonePlugin.cmo src/plugins/none/NonePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildDocPlugin.cmo src/plugins/ocamlbuild/OCamlbuildDocPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildPlugin.cmo src/plugins/ocamlbuild/OCamlbuildPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakePlugin.cmo src/plugins/omake/OMakePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/stdfiles -o src/plugins/extra/stdfiles/StdFilesPlugin.cmo src/plugins/extra/stdfiles/StdFilesPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/OASISBuiltinPlugins.cmo src/OASISBuiltinPlugins.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src src/plugins/custom/CustomData.cmo src/plugins/custom/CustomPlugin.cmo src/plugins/extra/META/METAData.cmo src/plugins/extra/META/METAPlugin.cmo src/plugins/extra/devfiles/DevFilesData.cmo src/plugins/extra/devfiles/DevFilesPlugin.cmo src/plugins/extra/stdfiles/StdFilesData.cmo src/plugins/extra/stdfiles/StdFilesPlugin.cmo src/plugins/internal/InternalData.cmo src/plugins/internal/InternalId.cmo src/plugins/internal/InternalConfigurePlugin.cmo src/plugins/internal/InternalInstallPlugin.cmo src/plugins/none/NoneData.cmo src/plugins/none/NonePlugin.cmo src/plugins/ocamlbuild/OCamlbuildCommon.cmo src/plugins/ocamlbuild/OCamlbuildData.cmo src/plugins/ocamlbuild/OCamlbuildId.cmo src/plugins/ocamlbuild/OCamlbuildDocPlugin.cmo src/plugins/ocamlbuild/MyOCamlbuildFindlib.cmo src/plugins/ocamlbuild/MyOCamlbuildBase.cmo src/plugins/ocamlbuild/OCamlbuildPlugin.cmo src/plugins/omake/OMakeData.cmo src/plugins/omake/OMakeFields.cmo src/plugins/omake/OMakeFormat.cmo src/plugins/omake/OMakeEquip.cmo src/plugins/omake/OMakePlugin.cmo src/OASISBuiltinPlugins.cmo -o src/builtin-plugins.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/custom -o src/plugins/custom/CustomData.cmx src/plugins/custom/CustomData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/devfiles -o src/plugins/extra/devfiles/DevFilesData.cmx src/plugins/extra/devfiles/DevFilesData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalData.cmx src/plugins/internal/InternalData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalId.cmx src/plugins/internal/InternalId.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/META -o src/plugins/extra/META/METAData.cmx src/plugins/extra/META/METAData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/none -o src/plugins/none/NoneData.cmx src/plugins/none/NoneData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildData.cmx src/plugins/ocamlbuild/OCamlbuildData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildCommon.cmx src/plugins/ocamlbuild/OCamlbuildCommon.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildId.cmx src/plugins/ocamlbuild/OCamlbuildId.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/MyOCamlbuildFindlib.cmx src/plugins/ocamlbuild/MyOCamlbuildFindlib.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/MyOCamlbuildBase.cmx src/plugins/ocamlbuild/MyOCamlbuildBase.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeData.cmx src/plugins/omake/OMakeData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeFields.cmx src/plugins/omake/OMakeFields.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeFormat.cmx src/plugins/omake/OMakeFormat.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakeEquip.cmx src/plugins/omake/OMakeEquip.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/stdfiles -o src/plugins/extra/stdfiles/StdFilesData.cmx src/plugins/extra/stdfiles/StdFilesData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/custom -o src/plugins/custom/CustomPlugin.cmx src/plugins/custom/CustomPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/devfiles -o src/plugins/extra/devfiles/DevFilesPlugin.cmx src/plugins/extra/devfiles/DevFilesPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalConfigurePlugin.cmx src/plugins/internal/InternalConfigurePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/internal -o src/plugins/internal/InternalInstallPlugin.cmx src/plugins/internal/InternalInstallPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/META -o src/plugins/extra/META/METAPlugin.cmx src/plugins/extra/META/METAPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/none -o src/plugins/none/NonePlugin.cmx src/plugins/none/NonePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildDocPlugin.cmx src/plugins/ocamlbuild/OCamlbuildDocPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -I +ocamlbuild -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/omake -I src/plugins/ocamlbuild -o src/plugins/ocamlbuild/OCamlbuildPlugin.cmx src/plugins/ocamlbuild/OCamlbuildPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/plugins/omake/OMakePlugin.cmx src/plugins/omake/OMakePlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/plugins/extra/stdfiles -o src/plugins/extra/stdfiles/StdFilesPlugin.cmx src/plugins/extra/stdfiles/StdFilesPlugin.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -package unix -package ocamlbuild -I src -I src/base -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/OASISBuiltinPlugins.cmx src/OASISBuiltinPlugins.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src src/plugins/custom/CustomData.cmx src/plugins/custom/CustomPlugin.cmx src/plugins/extra/META/METAData.cmx src/plugins/extra/META/METAPlugin.cmx src/plugins/extra/devfiles/DevFilesData.cmx src/plugins/extra/devfiles/DevFilesPlugin.cmx src/plugins/extra/stdfiles/StdFilesData.cmx src/plugins/extra/stdfiles/StdFilesPlugin.cmx src/plugins/internal/InternalData.cmx src/plugins/internal/InternalId.cmx src/plugins/internal/InternalConfigurePlugin.cmx src/plugins/internal/InternalInstallPlugin.cmx src/plugins/none/NoneData.cmx src/plugins/none/NonePlugin.cmx src/plugins/ocamlbuild/MyOCamlbuildFindlib.cmx src/plugins/ocamlbuild/MyOCamlbuildBase.cmx src/plugins/ocamlbuild/OCamlbuildCommon.cmx src/plugins/ocamlbuild/OCamlbuildData.cmx src/plugins/ocamlbuild/OCamlbuildId.cmx src/plugins/ocamlbuild/OCamlbuildDocPlugin.cmx src/plugins/ocamlbuild/OCamlbuildPlugin.cmx src/plugins/omake/OMakeData.cmx src/plugins/omake/OMakeFields.cmx src/plugins/omake/OMakeFormat.cmx src/plugins/omake/OMakeEquip.cmx src/plugins/omake/OMakePlugin.cmx src/OASISBuiltinPlugins.cmx -o src/builtin-plugins.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake src/builtin-plugins.cmxa src/plugins/custom/CustomData.cmx src/plugins/custom/CustomPlugin.cmx src/plugins/extra/META/METAData.cmx src/plugins/extra/META/METAPlugin.cmx src/plugins/extra/devfiles/DevFilesData.cmx src/plugins/extra/devfiles/DevFilesPlugin.cmx src/plugins/extra/stdfiles/StdFilesData.cmx src/plugins/extra/stdfiles/StdFilesPlugin.cmx src/plugins/internal/InternalData.cmx src/plugins/internal/InternalId.cmx src/plugins/internal/InternalConfigurePlugin.cmx src/plugins/internal/InternalInstallPlugin.cmx src/plugins/none/NoneData.cmx src/plugins/none/NonePlugin.cmx src/plugins/ocamlbuild/MyOCamlbuildFindlib.cmx src/plugins/ocamlbuild/MyOCamlbuildBase.cmx src/plugins/ocamlbuild/OCamlbuildCommon.cmx src/plugins/ocamlbuild/OCamlbuildData.cmx src/plugins/ocamlbuild/OCamlbuildId.cmx src/plugins/ocamlbuild/OCamlbuildDocPlugin.cmx src/plugins/ocamlbuild/OCamlbuildPlugin.cmx src/plugins/omake/OMakeData.cmx src/plugins/omake/OMakeFields.cmx src/plugins/omake/OMakeFormat.cmx src/plugins/omake/OMakeEquip.cmx src/plugins/omake/OMakePlugin.cmx src/OASISBuiltinPlugins.cmx -o src/builtin-plugins.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package unix -package ocamlbuild -modules src/dynrun/OASISDynRun.ml > src/dynrun/OASISDynRun.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -package unix -package ocamlbuild -I src/dynrun -I src -I src/base -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/dynrun/OASISDynRun.cmo src/dynrun/OASISDynRun.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/dynrun src/dynrun/OASISDynRun.cmo -o src/dynrun/dynrun.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -package unix -package ocamlbuild -I src/dynrun -I src -I src/base -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/dynrun/OASISDynRun.cmx src/dynrun/OASISDynRun.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/dynrun src/dynrun/OASISDynRun.cmx -o src/dynrun/dynrun.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I src/dynrun src/dynrun/dynrun.cmxa src/dynrun/OASISDynRun.cmx -o src/dynrun/dynrun.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -modules src/ext/plugin-loader/src/PluginLoader.ml > src/ext/plugin-loader/src/PluginLoader.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -package findlib -package dynlink -I src/ext/plugin-loader/src -o src/ext/plugin-loader/src/PluginLoader.cmo src/ext/plugin-loader/src/PluginLoader.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/ext/plugin-loader/src src/ext/plugin-loader/src/PluginLoader.cmo -o src/ext/plugin-loader/src/plugin-loader.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -package findlib -package dynlink -I src/ext/plugin-loader/src -o src/ext/plugin-loader/src/PluginLoader.cmx src/ext/plugin-loader/src/PluginLoader.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/ext/plugin-loader/src src/ext/plugin-loader/src/PluginLoader.cmx -o src/ext/plugin-loader/src/plugin-loader.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I src/ext/plugin-loader/src src/ext/plugin-loader/src/plugin-loader.cmxa src/ext/plugin-loader/src/PluginLoader.cmx -o src/ext/plugin-loader/src/plugin-loader.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLISubCommand.mli > src/cli/CLISubCommand.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLISubCommand.cmi src/cli/CLISubCommand.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLISubCommand.ml > src/cli/CLISubCommand.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLIPluginLoader.ml > src/cli/CLIPluginLoader.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLIPluginsLoaded.ml > src/cli/CLIPluginsLoaded.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPluginsLoaded.cmo src/cli/CLIPluginsLoaded.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPluginLoader.cmo src/cli/CLIPluginLoader.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLIArgExt.ml > src/cli/CLIArgExt.ml.depends
- + ocamlify --depends --output src/cli/CLIData.mlify.depends src/cli/CLIData.mlify
- + ocamlify --output src/cli/CLIData.ml src/cli/CLIData.mlify
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLIData.ml > src/cli/CLIData.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIData.cmo src/cli/CLIData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLICommon.mli > src/cli/CLICommon.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLICommon.cmi src/cli/CLICommon.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLICommon.ml > src/cli/CLICommon.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/CLIPager.ml > src/cli/CLIPager.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLISubCommand.cmo src/cli/CLISubCommand.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIArgExt.cmo src/cli/CLIArgExt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLICommon.cmo src/cli/CLICommon.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPager.cmo src/cli/CLIPager.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -I src/cli src/cli/CLIPluginsLoaded.cmo src/cli/CLIPluginLoader.cmo src/cli/CLISubCommand.cmo src/cli/CLIData.cmo src/cli/CLIArgExt.cmo src/cli/CLICommon.cmo src/cli/CLIPager.cmo -o src/cli/cli.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Main.ml > src/cli/Main.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Check.ml > src/cli/Check.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Help.ml > src/cli/Help.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Manual.ml > src/cli/Manual.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Query.ml > src/cli/Query.ml.depends
- + /home/opam/.opam/4.08/bin/ocamllex.opt -q src/cli/Query_lexer.mll
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Query_lexer.ml > src/cli/Query_lexer.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlyacc src/cli/Query_parser.mly
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Query_parser.mli > src/cli/Query_parser.mli.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Query_types.ml > src/cli/Query_types.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_types.cmo src/cli/Query_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_parser.cmi src/cli/Query_parser.mli
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_lexer.cmo src/cli/Query_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Quickstart.ml > src/cli/Quickstart.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Setup.ml > src/cli/Setup.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Setup.cmo src/cli/Setup.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/SetupClean.ml > src/cli/SetupClean.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/SetupDev.ml > src/cli/SetupDev.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Version.ml > src/cli/Version.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Check.cmo src/cli/Check.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Help.cmo src/cli/Help.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Manual.cmo src/cli/Manual.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query.cmo src/cli/Query.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Quickstart.cmo src/cli/Quickstart.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/SetupClean.cmo src/cli/SetupClean.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/SetupDev.cmo src/cli/SetupDev.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Version.cmo src/cli/Version.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Main.cmo src/cli/Main.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPluginsLoaded.cmx src/cli/CLIPluginsLoaded.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPluginLoader.cmx src/cli/CLIPluginLoader.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIData.cmx src/cli/CLIData.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLISubCommand.cmx src/cli/CLISubCommand.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLICommon.cmx src/cli/CLICommon.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIArgExt.cmx src/cli/CLIArgExt.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/CLIPager.cmx src/cli/CLIPager.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package findlib -package dynlink -package unix -package ocamlbuild -modules src/cli/Query_parser.ml > src/cli/Query_parser.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_types.cmx src/cli/Query_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_parser.cmx src/cli/Query_parser.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query_lexer.cmx src/cli/Query_lexer.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Setup.cmx src/cli/Setup.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Check.cmx src/cli/Check.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Help.cmx src/cli/Help.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Manual.cmx src/cli/Manual.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Query.cmx src/cli/Query.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Quickstart.cmx src/cli/Quickstart.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/SetupClean.cmx src/cli/SetupClean.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/SetupDev.cmx src/cli/SetupDev.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Version.cmx src/cli/Version.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -safe-string -I src/oasis -I src/base -I src -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -I src/ext/plugin-loader/src -I src/cli -package findlib -package dynlink -package unix -package ocamlbuild -I src/cli -I src -I src/base -I src/ext/plugin-loader/src -I src/oasis -I src/plugins/custom -I src/plugins/extra/META -I src/plugins/extra/devfiles -I src/plugins/extra/stdfiles -I src/plugins/internal -I src/plugins/none -I src/plugins/ocamlbuild -I src/plugins/omake -o src/cli/Main.cmx src/cli/Main.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -I src/cli src/cli/CLIPluginsLoaded.cmx src/cli/CLIPluginLoader.cmx src/cli/CLISubCommand.cmx src/cli/CLIData.cmx src/cli/CLIArgExt.cmx src/cli/CLICommon.cmx src/cli/CLIPager.cmx -o src/cli/cli.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -linkpkg -g -linkpkg -package findlib -package dynlink -package unix -package ocamlbuild -I src/oasis -I src/base -I src -I src/ext/plugin-loader/src -I src/cli src/oasis/oasis.cmxa src/base/base.cmxa src/builtin-plugins.cmxa src/ext/plugin-loader/src/plugin-loader.cmxa src/cli/cli.cmxa src/cli/Check.cmx src/cli/Help.cmx src/cli/Manual.cmx src/cli/Query_types.cmx src/cli/Query_parser.cmx src/cli/Query_lexer.cmx src/cli/Query.cmx src/cli/Setup.cmx src/cli/Quickstart.cmx src/cli/SetupClean.cmx src/cli/SetupDev.cmx src/cli/Version.cmx src/cli/Main.cmx -o src/cli/Main.native
-> compiled oasis.0.4.11
Processing 63/67: [oasis: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "ocaml" "setup.ml" "-install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/oasis.0.4.11)
- File "src/oasis/OASISFeatures.ml", line 32, characters 22-40:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "src/base/BaseEnv.ml", line 210, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- W: Nothing to install for findlib library 'test-common'
- W: Nothing to install for findlib library 'pluginloaderLib'
- W: Nothing to install for findlib library 'plugin3'
- W: Nothing to install for findlib library 'plugin2'
- W: Nothing to install for findlib library 'plugin1'
- Installed /home/opam/.opam/4.08/lib/plugin-loader/PluginLoader.ml
- Installed /home/opam/.opam/4.08/lib/plugin-loader/plugin-loader.cma
- Installed /home/opam/.opam/4.08/lib/plugin-loader/plugin-loader.cmxa
- Installed /home/opam/.opam/4.08/lib/plugin-loader/plugin-loader.a
- Installed /home/opam/.opam/4.08/lib/plugin-loader/plugin-loader.cmxs
- Installed /home/opam/.opam/4.08/lib/plugin-loader/PluginLoader.cmi
- Installed /home/opam/.opam/4.08/lib/plugin-loader/PluginLoader.cmt
- Installed /home/opam/.opam/4.08/lib/plugin-loader/PluginLoader.annot
- Installed /home/opam/.opam/4.08/lib/plugin-loader/PluginLoader.cmx
- Installed /home/opam/.opam/4.08/lib/plugin-loader/META
- W: Cannot find source header for module library in OASISData oasis
- Installed /home/opam/.opam/4.08/lib/oasis/FormatExt.mli
- Installed /home/opam/.opam/4.08/lib/oasis/PropList.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISUtils.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISUnixPath.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISFileSystem.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISContext.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISSourcePatterns.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISGettext.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISMessage.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISText.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OASISTypes.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISParse.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISValues.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISExpr.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISVersion.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISLicense.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISFileTemplate.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISBuildSection.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISDocument.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISExecutable.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISFlag.mli
- Installed /home/opam/.opam/4.08/lib/oasis/OASISSetupUpdate.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OASISLibrary.mli
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- Installed /home/opam/.opam/4.08/lib/oasis/NonePlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildPlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildDocPlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildCommon.ml
- Installed /home/opam/.opam/4.08/lib/oasis/CustomPlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesPlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesPlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/OMakePlugin.ml
- Installed /home/opam/.opam/4.08/lib/oasis/builtin-plugins.cma
- Installed /home/opam/.opam/4.08/lib/oasis/builtin-plugins.cmxa
- Installed /home/opam/.opam/4.08/lib/oasis/builtin-plugins.a
- Installed /home/opam/.opam/4.08/lib/oasis/builtin-plugins.cmxs
- Installed /home/opam/.opam/4.08/lib/oasis/OMakePlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/OMakePlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/OMakePlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/CustomPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/CustomPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/CustomPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildCommon.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildCommon.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildCommon.annot
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildDocPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildDocPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildDocPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/NonePlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/NonePlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/NonePlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/InternalInstallPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/InternalInstallPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/InternalInstallPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/InternalConfigurePlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/InternalConfigurePlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/InternalConfigurePlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/METAPlugin.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/METAPlugin.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/METAPlugin.annot
- Installed /home/opam/.opam/4.08/lib/oasis/OASISBuiltinPlugins.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/OASISBuiltinPlugins.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/OASISBuiltinPlugins.annot
- Installed /home/opam/.opam/4.08/lib/oasis/OMakeFormat.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OMakeEquip.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OMakeFields.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OMakeData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/METAData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/CustomData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/MyOCamlbuildFindlib.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/MyOCamlbuildBase.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildId.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/InternalId.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/InternalData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/NoneData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OMakePlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/StdFilesPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/DevFilesPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/CustomPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildCommon.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildDocPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OCamlbuildPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/NonePlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/InternalInstallPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/InternalConfigurePlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/METAPlugin.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/OASISBuiltinPlugins.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.mli
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCompat.ml
- Installed /home/opam/.opam/4.08/lib/oasis/base.cma
- Installed /home/opam/.opam/4.08/lib/oasis/base.cmxa
- Installed /home/opam/.opam/4.08/lib/oasis/base.a
- Installed /home/opam/.opam/4.08/lib/oasis/base.cmxs
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCompat.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCompat.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCompat.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.cmi
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.cmti
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.cmt
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.annot
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCompat.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseContext.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseMessage.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDynVar.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseTest.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseStandardVar.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseSetup.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseOCamlcConfig.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseLog.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseGenerate.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseFileAB.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnv.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseEnvLight.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseDoc.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseData.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCustom.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseCheck.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseBuilt.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/BaseArgExt.cmx
- Installed /home/opam/.opam/4.08/lib/oasis/META
-> installed oasis.0.4.11
Processing 64/67: [eigen: oasis setup]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "oasis" "setup" (CWD=/home/opam/.opam/4.08/.opam-switch/build/eigen.0.0.6)
Processing 64/67: [eigen: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-configure" "--prefix" "/home/opam/.opam/4.08" (CWD=/home/opam/.opam/4.08/.opam-switch/build/eigen.0.0.6)
- File "./setup.ml", line 1775, characters 22-40:
- 1775 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
-
- Configuration:
- ocamlfind: ........................................... /home/opam/.opam/4.08/bin/ocamlfind
- ocamlc: .............................................. /home/opam/.opam/4.08/bin/ocamlc.opt
- ocamlopt: ............................................ /home/opam/.opam/4.08/bin/ocamlopt.opt
- ocamlbuild: .......................................... /home/opam/.opam/4.08/bin/ocamlbuild
- Package name: ........................................ eigen
- Package version: ..................................... 0.1
- os_type: ............................................. Unix
- system: .............................................. linux
- architecture: ........................................ amd64
- ccomp_type: .......................................... cc
- ocaml_version: ....................................... 4.08.1
- standard_library_default: ............................ /home/opam/.opam/4.08/lib/ocaml
- standard_library: .................................... /home/opam/.opam/4.08/lib/ocaml
- bytecomp_c_compiler: ................................. gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- native_c_compiler: ................................... gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -D_FILE_OFFSET_BITS=64 -D_REENTRANT
- model: ............................................... default
- ext_obj: ............................................. .o
- ext_asm: ............................................. .s
- ext_lib: ............................................. .a
- ext_dll: ............................................. .so
- default_executable_name: ............................. a.out
- systhread_supported: ................................. true
- Install architecture-independent files dir: .......... /home/opam/.opam/4.08
- Install architecture-dependent files in dir: ......... $prefix
- User executables: .................................... $exec_prefix/bin
- System admin executables: ............................ $exec_prefix/sbin
- Program executables: ................................. $exec_prefix/libexec
- Read-only single-machine data: ....................... $prefix/etc
- Modifiable architecture-independent data: ............ $prefix/com
- Modifiable single-machine data: ...................... $prefix/var
- Object code libraries: ............................... $exec_prefix/lib
- Read-only arch-independent data root: ................ $prefix/share
- Read-only architecture-independent data: ............. $datarootdir
- Info documentation: .................................. $datarootdir/info
- Locale-dependent data: ............................... $datarootdir/locale
- Man documentation: ................................... $datarootdir/man
- Documentation root: .................................. $datarootdir/doc/$pkg_name
- HTML documentation: .................................. $docdir
- DVI documentation: ................................... $docdir
- PDF documentation: ................................... $docdir
- PS documentation: .................................... $docdir
- findlib_version: ..................................... 1.9.6
- is_native: ........................................... true
- suffix_program: ......................................
- Remove a file.: ...................................... rm -f
- Remove a directory.: ................................. rm -rf
- Turn ocaml debug flag on: ............................ true
- Turn ocaml profile flag on: .......................... false
- Compiler support generation of .cmxs.: ............... true
- OCamlbuild additional flags: .........................
- Create documentations: ............................... true
- Compile tests executable and library and run them: ... false
- pkg_ctypes: .......................................... /home/opam/.opam/4.08/lib/ctypes
- pkg_ctypes_stubs: .................................... /home/opam/.opam/4.08/lib/ctypes
-
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "ocaml" "setup.ml" "-build" (CWD=/home/opam/.opam/4.08/.opam-switch/build/eigen.0.0.6)
- File "./setup.ml", line 1775, characters 22-40:
- 1775 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- g++ -O3 -std=c++11 -I. -I./unsupported/ -c -fPIC -ansi -Wno-extern-c-compat -Wno-c++11-long-long -Wno-invalid-partial-specialization -Ofast -march=native -mfpmath=sse -funroll-loops -ffast-math -flto eigen_tensor.cpp -o eigen_tensor.o
- In file included from ./unsupported/Eigen/CXX11/Tensor:105,
- from eigen_tensor.cpp:8:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:96:65: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 61 | typedef typename Evaluator::Dimensions Dimensions;
- | ^~~~~~~~~~
- eigen_tensor_s.cpp:19:16: required from here
- 19 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:133:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 104 | PacketAccess = (PacketSize > 1),
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 61 | typedef typename Evaluator::Dimensions Dimensions;
- | ^~~~~~~~~~
- eigen_tensor_s.cpp:19:16: required from here
- 19 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:113:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 104 | PacketAccess = (PacketSize > 1),
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:140:92: required from 'const int Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >::LDims'
- 140 | internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:147:30: required from 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >'
- 147 | typedef array<Index, LDims - ContractDims> left_nocontract_t;
- | ~~~~~~^~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:97:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>'
- 97 | PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:85:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::NumDims'
- 85 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value + 1;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:86:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
- 86 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>::NumDims'
- 104 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:105:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:114:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 114 | PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::NumDims'
- 104 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:105:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>'
- 105 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:96:65: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<double, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 61 | typedef typename Evaluator::Dimensions Dimensions;
- | ^~~~~~~~~~
- eigen_tensor_d.cpp:20:16: required from here
- 20 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 104 | PacketAccess = (PacketSize > 1),
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<double, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 61 | typedef typename Evaluator::Dimensions Dimensions;
- | ^~~~~~~~~~
- eigen_tensor_d.cpp:20:16: required from here
- 20 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::Tensor<float, 4, 1>, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:388:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 388 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:36:71: required from here
- 36 | Eigen::Tensor<float, 4, Eigen::RowMajor>input_s = input.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:416:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 416 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::Tensor<float, 4, 1>, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:155:112: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::NumInputDims'
- 155 | static const int NumInputDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:156:30: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::NumDims'
- 156 | static const int NumDims = NumInputDims + 1;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:157:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>'
- 157 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:125:52: required from 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice> >'
- 125 | Layout = TensorEvaluator<LeftArgType, Device>::Layout,
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:416:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 416 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:42:34: required from here
- 42 | output = output_s.cast<double>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:416:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 416 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 104 | PacketAccess = (PacketSize > 1),
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:140:92: required from 'const int Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >::LDims'
- 140 | internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:147:30: required from 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >'
- 147 | typedef array<Index, LDims - ContractDims> left_nocontract_t;
- | ~~~~~~^~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:416:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 416 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:97:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>'
- 97 | PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:85:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::NumDims'
- 85 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value + 1;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:86:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>'
- 86 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>::NumDims'
- 104 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:105:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice> >':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>'
- 572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:114:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>'
- 114 | PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::NumDims'
- 104 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:105:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>'
- 105 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > > >::value'
- 92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>'
- 100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:388:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 388 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:182:73: required from here
- 182 | Eigen::Tensor<float, 5, Eigen::RowMajor>output_s = output.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>':
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:32:63: required from 'const int Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>::NumInputDims'
- 32 | typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
- | ^~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:33:30: required from 'const int Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>::NumDims'
- 33 | static const int NumDims = NumInputDims + 1;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:34:34: required from 'struct Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>'
- 34 | typedef DSizes<Index, NumDims> Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:650:1: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>'
- 638 | struct TensorEvaluator< \
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 639 | const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, Device> \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:387:65: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>'
- 387 | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimensions;
- | ^~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
- 105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
- 96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:416:14: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 416 | resize(TensorEvaluator<const Assign, DefaultDevice>(assign, DefaultDevice()).dimensions());
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:185:125: required from here
- 185 | output_s = CuboidMaxPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:139:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:135:124: required from here
- 135 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:151:124: required from here
- 151 | output = SpatialAvgPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:168:121: required from here
- 168 | output = CuboidMaxPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:185:121: required from here
- 185 | output = CuboidAvgPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:389:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 389 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:36:71: required from here
- 36 | Eigen::Tensor<float, 4, Eigen::RowMajor>input_s = input.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:42:34: required from here
- 42 | output = output_s.cast<double>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:148:124: required from here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:389:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 389 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:182:73: required from here
- 182 | Eigen::Tensor<float, 5, Eigen::RowMajor>output_s = output.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:185:125: required from here
- 185 | output_s = CuboidMaxPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:186:34: required from here
- 186 | output = output_s.cast<double>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]':
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:207:125: required from here
- 207 | output_s = CuboidAvgPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = float]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:66:30: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 66 | tensor.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- eigen_tensor_s.cpp:19:16: required from here
- 19 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::MakePointer>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = double]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:66:30: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<double, 4, 1> >; std::ostream = std::basic_ostream<char>]'
- 66 | tensor.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- eigen_tensor_d.cpp:20:16: required from here
- 20 | std::cout << x << std::endl;
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:129:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:107:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:135:124: required from here
- 135 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:151:124: required from here
- 151 | output = SpatialAvgPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:168:121: required from here
- 168 | output = CuboidMaxPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:185:121: required from here
- 185 | output = CuboidAvgPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:116:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:254:85: required from 'static Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketConv<LoadMode, ActuallyVectorize>::run(const Eigen::TensorEvaluator<ArgType, Device>&, Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index) [with int LoadMode = 0; bool ActuallyVectorize = false; TargetType = float; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; Device = Eigen::DefaultDevice; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType = __m256; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index = long int]'
- 254 | EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize];
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:229:51: required from 'Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::packet(Index) const [with int LoadMode = 0; TargetType = float; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 229 | return PacketConv<LoadMode, Vectorizable>::run(m_impl, index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:389:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 389 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:36:71: required from here
- 36 | Eigen::Tensor<float, 4, Eigen::RowMajor>input_s = input.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:192:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 192 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:254:85: required from 'static Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketConv<LoadMode, ActuallyVectorize>::run(const Eigen::TensorEvaluator<ArgType, Device>&, Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index) [with int LoadMode = 0; bool ActuallyVectorize = false; TargetType = double; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType = __m256d; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index = long int]'
- 254 | EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize];
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:229:51: required from 'Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::packet(Index) const [with int LoadMode = 0; TargetType = double; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 229 | return PacketConv<LoadMode, Vectorizable>::run(m_impl, index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 4, 1> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:42:34: required from here
- 42 | output = output_s.cast<double>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:192:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 192 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<double>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:148:124: required from here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:254:85: required from 'static Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketConv<LoadMode, ActuallyVectorize>::run(const Eigen::TensorEvaluator<ArgType, Device>&, Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index) [with int LoadMode = 0; bool ActuallyVectorize = false; TargetType = float; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType = __m256; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index = long int]'
- 254 | EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize];
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:229:51: required from 'Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::packet(Index) const [with int LoadMode = 0; TargetType = float; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 229 | return PacketConv<LoadMode, Vectorizable>::run(m_impl, index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:389:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::Tensor(const Eigen::TensorBase<OtherDerived, 0>&) [with OtherDerived = Eigen::TensorConversionOp<float, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 389 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:182:73: required from here
- 182 | Eigen::Tensor<float, 5, Eigen::RowMajor>output_s = output.cast<float>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:192:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 192 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:185:125: required from here
- 185 | output_s = CuboidMaxPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:254:85: required from 'static Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketConv<LoadMode, ActuallyVectorize>::run(const Eigen::TensorEvaluator<ArgType, Device>&, Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index) [with int LoadMode = 0; bool ActuallyVectorize = false; TargetType = double; ArgType = const Eigen::Tensor<float, 5, 1>; Device = Eigen::DefaultDevice; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType = __m256d; Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::Index = long int]'
- 254 | EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize];
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:229:51: required from 'Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorConversionOp<TargetType, XprType>, Device>::packet(Index) const [with int LoadMode = 0; TargetType = double; ArgType = const Eigen::Tensor<float, 5, 1>; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 229 | return PacketConv<LoadMode, Vectorizable>::run(m_impl, index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp<double, const Eigen::Tensor<float, 5, 1> >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:186:34: required from here
- 186 | output = output_s.cast<double>();
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:192:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 192 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:613:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 613 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:207:125: required from here
- 207 | output_s = CuboidAvgPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:397:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 397 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:135:124: required from here
- 135 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::AvgPoolMeanReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:151:124: required from here
- 151 | output = SpatialAvgPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:168:121: required from here
- 168 | output = CuboidMaxPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::AvgPoolMeanReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:185:121: required from here
- 185 | output = CuboidAvgPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<double>; typename Self::CoeffReturnType = double; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<double>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:148:124: required from here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:185:125: required from here
- 185 | output_s = CuboidMaxPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h: In instantiation of 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::AvgPoolMeanReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::AvgPoolMeanReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:207:125: required from here
- 207 | output_s = CuboidAvgPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:169:88: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::AvgPoolMeanReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 169 | const int packetSize = internal::unpacket_traits<typename Self::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = float]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:331:36: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 331 | m_leftImpl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:120:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:365:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<Rows, Cols, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<Rows, Cols, XprType>, Device>::packet(Index) const [with int LoadMode = 0; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 365 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:173:66: required from 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]'
- 173 | reducer.reducePacket(self.m_impl.template packet<Unaligned>(firstIndex + j), &p);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:135:124: required from here
- 135 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:164:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 164 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = float]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:331:36: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 331 | m_leftImpl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:61:118: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 61 | const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:365:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<Rows, Cols, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorImagePatchOp<Rows, Cols, XprType>, Device>::packet(Index) const [with int LoadMode = 0; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 365 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:173:66: required from 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<double>; typename Self::CoeffReturnType = double; typename Self::Index = long int]'
- 173 | reducer.reducePacket(self.m_impl.template packet<Unaligned>(firstIndex + j), &p);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<double>; Dims = const Eigen::array<int, 2>; ArgType = const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const Eigen::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:148:124: required from here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h:164:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 164 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:111:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/NeuralNetwork/eigen_backward_cuboid_convolutions.h:20,
- from eigen_tensor.cpp:12:
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h: In instantiation of 'const Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>::Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:334:5: required from 'Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::PacketReturnType Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::packet(Index) const [with int LoadMode = 0; long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 334 | EIGEN_STATIC_ASSERT(PacketSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:173:66: required from 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]'
- 173 | reducer.reducePacket(self.m_impl.template packet<Unaligned>(firstIndex + j), &p);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::MakePointer> >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:168:121: required from here
- 168 | output = CuboidMaxPooling(input, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:40:52: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 40 | internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h: In instantiation of 'const Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>::Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::Tensor<float, 5, 1>, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:334:5: required from 'Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::PacketReturnType Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::packet(Index) const [with int LoadMode = 0; long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 5, 1>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 334 | EIGEN_STATIC_ASSERT(PacketSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:173:66: required from 'static typename Self::CoeffReturnType Eigen::internal::InnerMostDimReducer<Self, Op, true>::reduce(const Self&, typename Self::Index, typename Self::Index, Op&) [with Self = Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>, Eigen::DefaultDevice>; Op = Eigen::internal::MaxReducer<float>; typename Self::CoeffReturnType = float; typename Self::Index = long int]'
- 173 | reducer.reducePacket(self.m_impl.template packet<Unaligned>(firstIndex + j), &p);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:627:68: required from 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Op, Dims, XprType, MakePointer_>, Device>::packet(Index) const [with int LoadMode = 0; Op = Eigen::internal::MaxReducer<float>; Dims = const Eigen::array<int, 1>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 627 | values[i] = internal::InnerMostDimReducer<Self, Op>::reduce(*this, firstIndex + i * num_values_to_reduce,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 628 | num_values_to_reduce, reducer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:141:94: required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalPacket(Index) [with LeftArgType = Eigen::Tensor<float, 5, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; Index = long int]'
- 141 | m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 5, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> > >]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const Eigen::array<int, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::Tensor<float, 5, 1> > >, Eigen::MakePointer> >; Scalar_ = float; int NumIndices_ = 5; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:185:125: required from here
- 185 | output_s = CuboidMaxPooling(input_s, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:40:52: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 40 | internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from eigen_tensor.cpp:9:
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 721 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 742 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 756 | PacketBlock<Packet, 4> kernel;
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:198:22: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 198 | const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0), lhs1 = lhs.getVectorMapper(0, i+offset1),
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- In file included from ./Eigen/Core:347,
- from eigen_tensor.cpp:7:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 4>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h:137:170: required from 'void Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<ArgType, MakePointer_>, Device>::evalPacket(Index) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; Index = long int]'
- 137 | internal::pstoret<CoeffReturnType, PacketReturnType, Aligned>(m_buffer + i, m_impl.template packet<TensorEvaluator<ArgType, Device>::IsAligned ? Aligned : Unaligned>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = float]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:331:36: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 331 | m_leftImpl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:51:135: required from here
- 51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<float, long int, Eigen::internal::TensorContractionSubMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>, 24, 8, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 4>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h:137:170: required from 'void Eigen::TensorEvaluator<const Eigen::TensorEvalToOp<ArgType, MakePointer_>, Device>::evalPacket(Index) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; Index = long int]'
- 137 | internal::pstoret<CoeffReturnType, PacketReturnType, Aligned>(m_buffer + i, m_impl.template packet<TensorEvaluator<ArgType, Device>::IsAligned ? Aligned : Unaligned>(i));
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:68:31: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorEvalToOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>]'
- 68 | evaluator.evalPacket(i + j * PacketSize);
- | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:128:109: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<ArgType, MakePointer_>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; MakePointer_ = Eigen::MakePointer; CoeffReturnType = float]'
- 128 | internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:331:36: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 331 | m_leftImpl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 16]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 16>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer> > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:63:141: required from here
- 63 | input_s = SpatialConvolutionBackwardInput(kernel_s, output_s, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::array<bool, 4>, const Eigen::Tensor<float, 4, 1> > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, true, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, true, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, true, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, true, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:409:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 409 | RhsMapper rhs(m_rightImpl, m_right_nocontract_strides, m_j_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1894:45: required from 'struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, false, false, 0>, 4, 0, false, false>'
- 1894 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:467:92: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 467 | internal::gemm_pack_rhs<RhsScalar, Index, typename RhsMapper::SubMapper, nr, ColMajor> pack_rhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::BaseTensorContractionMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:436:7: required from 'class Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>'
- 436 | class TensorContractionInputMapper
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:407:15: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 407 | LhsMapper lhs(m_leftImpl, m_left_nocontract_strides, m_i_strides,
- | ^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:236:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 236 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'class Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>':
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1691:45: required from 'struct Eigen::internal::gemm_pack_lhs<double, long int, Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>, 12, 4, 0, false, false>'
- 1691 | typedef typename DataMapper::LinearMapper LinearMapper;
- | ^~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:466:113: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 466 | internal::gemm_pack_lhs<LhsScalar, Index, typename LhsMapper::SubMapper, mr, Traits::LhsProgress, ColMajor> pack_lhs;
- | ^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:340:50: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 340 | typedef typename unpacket_traits<Packet>::half HalfPacket;
- | ^~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:368:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 368 | static_cast<const Derived*>(this)->template evalProduct<false, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:373:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 373 | static_cast<const Derived*>(this)->template evalProduct<false, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:391:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 391 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:392:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 392 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:376:98: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 376 | static_cast<const Derived*>(this)->template evalProduct<false, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:448:104: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 448 | const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:449:105: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 449 | const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:350:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 350 | static_cast<const Derived*>(this)->template evalProduct<true, true, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:355:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 355 | static_cast<const Derived*>(this)->template evalProduct<true, false, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:534:40: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 534 | return m_base_mapper.loadPacketFast(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 535 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:743:50: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 743 | kernel.packet[0] = dm0.loadPacketFast(k);
- | ~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:363:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 363 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 1>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float]'
- 622 | this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:358:97: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 358 | static_cast<const Derived*>(this)->template evalProduct<true, false, false, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:312:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 312 | const Index packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:35:107: required from here
- 35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, true, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = float; LhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 8, false, false, 0>; bool ConjugateLhs = false; RhsScalar = float; RhsMapper = Eigen::internal::TensorContractionInputMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 8, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = float]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:119:135: required from here
- 119 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, true, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]':
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:356:12: required from 'Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 356 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex);
- | ^~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:539:44: required from 'Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar_, Index, Side, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int Side = 0; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 539 | return m_base_mapper.loadPacketStandard(i + m_depth_offset, m_rowIndex,
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 540 | m_colIndex, m_otherIndex);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:757:54: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, Eigen::internal::TensorContractionSubMapper<Scalar, Index, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimension, const Eigen::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::Tensor<float, 4, 1>; Device = Eigen::DefaultDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, false, false, 0>]'
- 757 | kernel.packet[0] = dm0.loadPacketStandard(k);
- | ~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 503 | pack_rhs(blockB, rhs.getSubMapper(k2, j2), actual_kc, actual_nc, 0, 0);
- | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:622:116: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::Tensor<float, 4, 1>; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<float, 4, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/Tensor.h:417:65: required from 'Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::Tensor<float, 4, 1> > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::Tensor<float, 4, 1> > > >; Scalar_ = float; int NumIndices_ = 4; int Options_ = 1; IndexType_ = long int]'
- 417 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:41:113: required from here
- 41 | output_s = SpatialConvolution(input_s, kernel_s, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_spatial_convolutions.h:391:63: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m256'} [-Wignored-attributes]
- 391 | const int packetSize = internal::unpacket_traits<Packet>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, true, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:347:95: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 347 | static_cast<const Derived*>(this)->template evalProduct<true, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 104 | padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j), ptmp0), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h: In instantiation of 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0]':
- ./Eigen/src/Core/products/GeneralMatrixVector.h:223:15: required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 2>, 4, false, false, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>, Eigen::array<long int, 2>, Eigen::array<long int, 2>, 4, true, true, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
- 105 | pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j), ptmp1)), \
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:117: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 418 | internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
- 419 | rows, cols, lhs, rhs,
- | ~~~~~~~~~~~~~~~~~~~~~
- 420 | buffer, resIncr, alpha);
- | ~~~~~~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:618:118: required from 'void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType>, Device_>::evalProduct(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array<Eigen::IndexPair<long int>, 2>; LeftArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 618 | this->template evalGemv<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:365:96: required from 'void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 365 | static_cast<const Derived*>(this)->template evalProduct<false, true, true, Unaligned>(buffer);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:146:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 146 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:154:32: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with Shuffle = const Eigen::array<long int, 5>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 154 | m_impl.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorShufflingOp<const Eigen::array<long int, 5>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:132:135: required from here
- 132 | kernel = CuboidConvolutionBackwardKernel(input, output, kernel_depth, kernel_rows, kernel_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:411:62: warning: ignoring attributes on template argument 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketReturnType' {aka '__m256d'} [-Wignored-attributes]
- 411 | EIGEN_STATIC_ASSERT((internal::is_same<PacketT, Packet>::value), YOU_MADE_A_PROGRAMMING_MISTAKE);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/util/StaticAssert.h:123:65: note: in definition of macro 'EIGEN_STATIC_ASSERT'
- 123 | if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
- | ^~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 2>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = float; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = float; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<float, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 8, true, true, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]'
- 1974 | kernel.packet[0] = dm0.loadPacket(k);
- | ~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:67:138: required from here
- 67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:169:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<Shuffle, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Shuffle = const Eigen::array<long int, 2>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 169 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: required from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, Eigen::DefaultDevice>, Eigen::array<long int, 1>, Eigen::array<long int, 1>, 4, true, true, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]'
- 1974 | kernel.packet[0] = dm0.loadPacket(k);
- | ~~~~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:503:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 4>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const Eigen::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 4, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:80:138: required from here
- 80 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:130:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:167:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 167 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = float; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = float; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256]'
- 377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:128:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:198:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 198 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:414:63: required from 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(8) float; int AlignmentType = 16; Scalar = float; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 8; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]'
- 414 | return m_base_mapper.template loadPacket<ActualAlignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:102:131: required from here
- 102 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:110:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 110 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:167:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 167 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:109:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 109 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:198:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReverseOp<ReverseDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; ReverseDimensions = const Eigen::array<bool, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 198 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m256d]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:414:63: required from 'PacketT Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::load(Index) const [with PacketT = __vector(4) double; int AlignmentType = 16; Scalar = double; Index = long int; int side = 1; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0]'
- 414 | return m_base_mapper.template loadPacket<ActualAlignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralMatrixVector.h:219:15: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h:110:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 110 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h: In instantiation of 'const Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>::Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:334:5: required from 'Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::PacketReturnType Eigen::CustomTensorEvaluator<Planes, Rows, Cols, ArgType, Device>::packet(Index) const [with int LoadMode = 0; long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 334 | EIGEN_STATIC_ASSERT(PacketSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~^~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 3>; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 250 | return this->m_tensor.template packet<AlignmentType>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = Eigen::array<long int, 1>; contract_t = Eigen::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
- 377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const Eigen::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:115:131: required from here
- 115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
- | ^
- ./unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:40:52: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 40 | internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:119:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 187 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 90 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 187 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
- 42 | return m_tensor.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 90 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- In file included from ./unsupported/Eigen/CXX11/Tensor:127:
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const Eigen::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 260 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const Eigen::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 184 | return packetColMajor(index);
- | ^~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 233 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
- 196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_s.cpp:85:90: required from here
- 85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
- 93 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const Eigen::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 260 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
- | ~~~~~~~~~~~~^~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const Eigen::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 184 | return packetColMajor(index);
- | ^~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 233 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 142 | return m_impl.template packet<LoadMode>(index);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const Eigen::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
- 196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
- ./unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
- 334 | evalTo(data);
- | ^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
- ./unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const Eigen::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const Eigen::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const Eigen::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
- eigen_tensor_d.cpp:98:90: required from here
- 98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
- | ^
- ./unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
- 93 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
- | ^~~~
- cc1plus: note: unrecognized command-line option '-Wno-invalid-partial-specialization' may have been intended to silence earlier diagnostics
- cc1plus: note: unrecognized command-line option '-Wno-c++11-long-long' may have been intended to silence earlier diagnostics
- cc1plus: note: unrecognized command-line option '-Wno-extern-c-compat' may have been intended to silence earlier diagnostics
- g++ -O3 -std=c++11 -I. -c -fPIC -ansi -Wno-extern-c-compat -Wno-c++11-long-long -Wno-invalid-partial-specialization -Ofast -march=native -mfpmath=sse -funroll-loops -ffast-math -flto eigen_dsmat.cpp -o eigen_dsmat.o
- g++ -O3 -std=c++11 -I. -c -fPIC -ansi -Wno-extern-c-compat -Wno-c++11-long-long -Wno-invalid-partial-specialization -Ofast -march=native -mfpmath=sse -funroll-loops -ffast-math -flto eigen_spmat.cpp -o eigen_spmat.o
- ar rvs libeigen.a eigen_dsmat.o eigen_spmat.o eigen_tensor.o
- ar: creating libeigen.a
- a - eigen_dsmat.o
- a - eigen_spmat.o
- a - eigen_tensor.o
- rm -rf _build *.byte *.a *.o *.so *.cmo *.cmi
- /home/opam/.opam/4.08/.opam-switch/build/eigen.0.0.6
- + ocamlfind ocamlopt unix.cmxa -I /home/opam/.opam/4.08/lib/ocamlbuild /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuildlib.cmxa -linkpkg myocamlbuild.ml /home/opam/.opam/4.08/lib/ocamlbuild/ocamlbuild.cmx -o myocamlbuild
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -g -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -c lib/eigen_utils_stubs.c
- + mv eigen_utils_stubs.o lib/eigen_utils_stubs.o
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -g -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -c lib/ffi_eigen_generated_stub.c
- + mv ffi_eigen_generated_stub.o lib/ffi_eigen_generated_stub.o
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlmklib -o lib/eigen_stubs -g -Linclude -leigen -lstdc++ lib/eigen_utils_stubs.o lib/ffi_eigen_generated_stub.o
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlmklib -o lib/eigen_stubs -g -Linclude -leigen -lstdc++ lib/eigen_utils_stubs.o lib/ffi_eigen_generated_stub.o
- lib/eigen_spmat.h:256:17: warning: type of 'c_eigen_spmat_z_sum' does not match original declaration [-Wlto-type-mismatch]
- 256 | c_spmat_z_elt c_eigen_spmat_z_sum(struct c_spmat_z *m);
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: return value type mismatch
- 386 | c_spmat_z_elt c_eigen_spmat_z_sum(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: 'c_eigen_spmat_z_sum' was previously declared here
- 386 | c_spmat_z_elt c_eigen_spmat_z_sum(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:255:21: warning: type of 'c_eigen_spmat_z_div_scalar' does not match original declaration [-Wlto-type-mismatch]
- 255 | struct c_spmat_z* c_eigen_spmat_z_div_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: type mismatch in parameter 2
- 376 | c_spmat_z* c_eigen_spmat_z_div_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: 'c_eigen_spmat_z_div_scalar' was previously declared here
- 376 | c_spmat_z* c_eigen_spmat_z_div_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:254:21: warning: type of 'c_eigen_spmat_z_mul_scalar' does not match original declaration [-Wlto-type-mismatch]
- 254 | struct c_spmat_z* c_eigen_spmat_z_mul_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: type mismatch in parameter 2
- 369 | c_spmat_z* c_eigen_spmat_z_mul_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: 'c_eigen_spmat_z_mul_scalar' was previously declared here
- 369 | c_spmat_z* c_eigen_spmat_z_mul_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:253:21: warning: type of 'c_eigen_spmat_z_sub_scalar' does not match original declaration [-Wlto-type-mismatch]
- 253 | struct c_spmat_z* c_eigen_spmat_z_sub_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: type mismatch in parameter 2
- 359 | c_spmat_z* c_eigen_spmat_z_sub_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: 'c_eigen_spmat_z_sub_scalar' was previously declared here
- 359 | c_spmat_z* c_eigen_spmat_z_sub_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:252:21: warning: type of 'c_eigen_spmat_z_add_scalar' does not match original declaration [-Wlto-type-mismatch]
- 252 | struct c_spmat_z* c_eigen_spmat_z_add_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: type mismatch in parameter 2
- 349 | c_spmat_z* c_eigen_spmat_z_add_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: 'c_eigen_spmat_z_add_scalar' was previously declared here
- 349 | c_spmat_z* c_eigen_spmat_z_add_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:235:17: warning: type of 'c_eigen_spmat_z_trace' does not match original declaration [-Wlto-type-mismatch]
- 235 | c_spmat_z_elt c_eigen_spmat_z_trace(struct c_spmat_z *m);
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: return value type mismatch
- 178 | c_spmat_z_elt c_eigen_spmat_z_trace(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: 'c_eigen_spmat_z_trace' was previously declared here
- 178 | c_spmat_z_elt c_eigen_spmat_z_trace(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:226:18: warning: type of 'c_eigen_spmat_z_valueptr' does not match original declaration [-Wlto-type-mismatch]
- 226 | c_spmat_z_elt* c_eigen_spmat_z_valueptr(struct c_spmat_z *m, INDEX *l);
- | ^
- ../lib/eigen_spmat_z.cpp:120:16: note: 'c_eigen_spmat_z_valueptr' was previously declared here
- 120 | c_spmat_z_elt* c_eigen_spmat_z_valueptr(c_spmat_z *m, INDEX *l)
- | ^
- ../lib/eigen_spmat_z.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:225:8: warning: type of 'c_eigen_spmat_z_prune' does not match original declaration [-Wlto-type-mismatch]
- 225 | void c_eigen_spmat_z_prune(struct c_spmat_z *m, c_spmat_z_elt ref, double eps);
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: type mismatch in parameter 2
- 114 | void c_eigen_spmat_z_prune(c_spmat_z *m, c_spmat_z_elt ref, double eps)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: 'c_eigen_spmat_z_prune' was previously declared here
- 114 | void c_eigen_spmat_z_prune(c_spmat_z *m, c_spmat_z_elt ref, double eps)
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:219:8: warning: type of 'c_eigen_spmat_z_insert' does not match original declaration [-Wlto-type-mismatch]
- 219 | void c_eigen_spmat_z_insert(struct c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x);
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: type mismatch in parameter 4
- 83 | void c_eigen_spmat_z_insert(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: 'c_eigen_spmat_z_insert' was previously declared here
- 83 | void c_eigen_spmat_z_insert(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:218:8: warning: type of 'c_eigen_spmat_z_set' does not match original declaration [-Wlto-type-mismatch]
- 218 | void c_eigen_spmat_z_set(struct c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x);
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: type mismatch in parameter 4
- 78 | void c_eigen_spmat_z_set(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: 'c_eigen_spmat_z_set' was previously declared here
- 78 | void c_eigen_spmat_z_set(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:217:17: warning: type of 'c_eigen_spmat_z_get' does not match original declaration [-Wlto-type-mismatch]
- 217 | c_spmat_z_elt c_eigen_spmat_z_get(struct c_spmat_z *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: return value type mismatch
- 72 | c_spmat_z_elt c_eigen_spmat_z_get(c_spmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: 'c_eigen_spmat_z_get' was previously declared here
- 72 | c_spmat_z_elt c_eigen_spmat_z_get(c_spmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:201:17: warning: type of 'c_eigen_spmat_c_sum' does not match original declaration [-Wlto-type-mismatch]
- 201 | c_spmat_c_elt c_eigen_spmat_c_sum(struct c_spmat_c *m);
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: return value type mismatch
- 386 | c_spmat_c_elt c_eigen_spmat_c_sum(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: 'c_eigen_spmat_c_sum' was previously declared here
- 386 | c_spmat_c_elt c_eigen_spmat_c_sum(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:200:21: warning: type of 'c_eigen_spmat_c_div_scalar' does not match original declaration [-Wlto-type-mismatch]
- 200 | struct c_spmat_c* c_eigen_spmat_c_div_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: type mismatch in parameter 2
- 376 | c_spmat_c* c_eigen_spmat_c_div_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: 'c_eigen_spmat_c_div_scalar' was previously declared here
- 376 | c_spmat_c* c_eigen_spmat_c_div_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:199:21: warning: type of 'c_eigen_spmat_c_mul_scalar' does not match original declaration [-Wlto-type-mismatch]
- 199 | struct c_spmat_c* c_eigen_spmat_c_mul_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: type mismatch in parameter 2
- 369 | c_spmat_c* c_eigen_spmat_c_mul_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: 'c_eigen_spmat_c_mul_scalar' was previously declared here
- 369 | c_spmat_c* c_eigen_spmat_c_mul_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:198:21: warning: type of 'c_eigen_spmat_c_sub_scalar' does not match original declaration [-Wlto-type-mismatch]
- 198 | struct c_spmat_c* c_eigen_spmat_c_sub_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: type mismatch in parameter 2
- 359 | c_spmat_c* c_eigen_spmat_c_sub_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: 'c_eigen_spmat_c_sub_scalar' was previously declared here
- 359 | c_spmat_c* c_eigen_spmat_c_sub_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:197:21: warning: type of 'c_eigen_spmat_c_add_scalar' does not match original declaration [-Wlto-type-mismatch]
- 197 | struct c_spmat_c* c_eigen_spmat_c_add_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: type mismatch in parameter 2
- 349 | c_spmat_c* c_eigen_spmat_c_add_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: 'c_eigen_spmat_c_add_scalar' was previously declared here
- 349 | c_spmat_c* c_eigen_spmat_c_add_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:180:17: warning: type of 'c_eigen_spmat_c_trace' does not match original declaration [-Wlto-type-mismatch]
- 180 | c_spmat_c_elt c_eigen_spmat_c_trace(struct c_spmat_c *m);
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: return value type mismatch
- 178 | c_spmat_c_elt c_eigen_spmat_c_trace(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: 'c_eigen_spmat_c_trace' was previously declared here
- 178 | c_spmat_c_elt c_eigen_spmat_c_trace(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:171:18: warning: type of 'c_eigen_spmat_c_valueptr' does not match original declaration [-Wlto-type-mismatch]
- 171 | c_spmat_c_elt* c_eigen_spmat_c_valueptr(struct c_spmat_c *m, INDEX *l);
- | ^
- ../lib/eigen_spmat_c.cpp:120:16: note: 'c_eigen_spmat_c_valueptr' was previously declared here
- 120 | c_spmat_c_elt* c_eigen_spmat_c_valueptr(c_spmat_c *m, INDEX *l)
- | ^
- ../lib/eigen_spmat_c.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:170:8: warning: type of 'c_eigen_spmat_c_prune' does not match original declaration [-Wlto-type-mismatch]
- 170 | void c_eigen_spmat_c_prune(struct c_spmat_c *m, c_spmat_c_elt ref, float eps);
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: type mismatch in parameter 2
- 114 | void c_eigen_spmat_c_prune(c_spmat_c *m, c_spmat_c_elt ref, float eps)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: 'c_eigen_spmat_c_prune' was previously declared here
- 114 | void c_eigen_spmat_c_prune(c_spmat_c *m, c_spmat_c_elt ref, float eps)
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:164:8: warning: type of 'c_eigen_spmat_c_insert' does not match original declaration [-Wlto-type-mismatch]
- 164 | void c_eigen_spmat_c_insert(struct c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x);
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: type mismatch in parameter 4
- 83 | void c_eigen_spmat_c_insert(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: 'c_eigen_spmat_c_insert' was previously declared here
- 83 | void c_eigen_spmat_c_insert(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:163:8: warning: type of 'c_eigen_spmat_c_set' does not match original declaration [-Wlto-type-mismatch]
- 163 | void c_eigen_spmat_c_set(struct c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x);
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: type mismatch in parameter 4
- 78 | void c_eigen_spmat_c_set(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: 'c_eigen_spmat_c_set' was previously declared here
- 78 | void c_eigen_spmat_c_set(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:162:17: warning: type of 'c_eigen_spmat_c_get' does not match original declaration [-Wlto-type-mismatch]
- 162 | c_spmat_c_elt c_eigen_spmat_c_get(struct c_spmat_c *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: return value type mismatch
- 72 | c_spmat_c_elt c_eigen_spmat_c_get(c_spmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: 'c_eigen_spmat_c_get' was previously declared here
- 72 | c_spmat_c_elt c_eigen_spmat_c_get(c_spmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:131:21: warning: type of 'c_eigen_dsmat_z_inv' does not match original declaration [-Wlto-type-mismatch]
- 131 | struct c_dsmat_z* c_eigen_dsmat_z_inv(c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:167:12: note: 'c_eigen_dsmat_z_inv' was previously declared here
- 167 | c_dsmat_z* c_eigen_dsmat_z_inv(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_z.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:130:8: warning: type of 'c_eigen_dsmat_z_colwise_op' does not match original declaration [-Wlto-type-mismatch]
- 130 | void c_eigen_dsmat_z_colwise_op(int, c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*);
- | ^
- ../lib/eigen_dsmat_z.cpp:150:6: note: 'c_eigen_dsmat_z_colwise_op' was previously declared here
- 150 | void c_eigen_dsmat_z_colwise_op (int op, c_dsmat_z_elt* x_ptr, INDEX m, INDEX n, c_dsmat_z_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_z.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:129:8: warning: type of 'c_eigen_dsmat_z_rowwise_op' does not match original declaration [-Wlto-type-mismatch]
- 129 | void c_eigen_dsmat_z_rowwise_op(int, c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*);
- | ^
- ../lib/eigen_dsmat_z.cpp:133:6: note: 'c_eigen_dsmat_z_rowwise_op' was previously declared here
- 133 | void c_eigen_dsmat_z_rowwise_op (int op, c_dsmat_z_elt* x_ptr, INDEX m, INDEX n, c_dsmat_z_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_z.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:128:8: warning: type of 'c_eigen_dsmat_z_swap_cols' does not match original declaration [-Wlto-type-mismatch]
- 128 | void c_eigen_dsmat_z_swap_cols(c_dsmat_z_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:127:6: note: 'c_eigen_dsmat_z_swap_cols' was previously declared here
- 127 | void c_eigen_dsmat_z_swap_cols(c_dsmat_z_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:127:8: warning: type of 'c_eigen_dsmat_z_swap_rows' does not match original declaration [-Wlto-type-mismatch]
- 127 | void c_eigen_dsmat_z_swap_rows(c_dsmat_z_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:121:6: note: 'c_eigen_dsmat_z_swap_rows' was previously declared here
- 121 | void c_eigen_dsmat_z_swap_rows(c_dsmat_z_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:126:21: warning: type of 'c_eigen_dsmat_z_transpose' does not match original declaration [-Wlto-type-mismatch]
- 126 | struct c_dsmat_z* c_eigen_dsmat_z_transpose(c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:115:12: note: 'c_eigen_dsmat_z_transpose' was previously declared here
- 115 | c_dsmat_z* c_eigen_dsmat_z_transpose(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_z.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:125:21: warning: type of 'c_eigen_dsmat_z_gemm' does not match original declaration [-Wlto-type-mismatch]
- 125 | struct c_dsmat_z* c_eigen_dsmat_z_gemm(c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:108:12: note: 'c_eigen_dsmat_z_gemm' was previously declared here
- 108 | c_dsmat_z* c_eigen_dsmat_z_gemm(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn, c_dsmat_z_elt* y_ptr, INDEX ym, INDEX yn)
- | ^
- ../lib/eigen_dsmat_z.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:122:18: warning: type of 'c_eigen_dsmat_z_data' does not match original declaration [-Wlto-type-mismatch]
- 122 | c_dsmat_z_elt* c_eigen_dsmat_z_data(struct c_dsmat_z *m);
- | ^
- ../lib/eigen_dsmat_z.cpp:96:16: note: 'c_eigen_dsmat_z_data' was previously declared here
- 96 | c_dsmat_z_elt* c_eigen_dsmat_z_data(c_dsmat_z *m)
- | ^
- ../lib/eigen_dsmat_z.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:121:8: warning: type of 'c_eigen_dsmat_z_set' does not match original declaration [-Wlto-type-mismatch]
- 121 | void c_eigen_dsmat_z_set(struct c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x);
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: type mismatch in parameter 4
- 91 | void c_eigen_dsmat_z_set(c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x)
- | ^
- ../lib/eigen_dsmat.h:19:35: note: type 'struct c_dsmat_z_elt' should match type 'c_dsmat_z_elt'
- 19 | typedef struct { double r, i; } c_dsmat_z_elt;
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: 'c_eigen_dsmat_z_set' was previously declared here
- 91 | void c_eigen_dsmat_z_set(c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x)
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:120:17: warning: type of 'c_eigen_dsmat_z_get' does not match original declaration [-Wlto-type-mismatch]
- 120 | c_dsmat_z_elt c_eigen_dsmat_z_get(struct c_dsmat_z *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: return value type mismatch
- 85 | c_dsmat_z_elt c_eigen_dsmat_z_get(c_dsmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat.h:19:35: note: type 'struct c_dsmat_z_elt' should match type 'c_dsmat_z_elt'
- 19 | typedef struct { double r, i; } c_dsmat_z_elt;
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: 'c_eigen_dsmat_z_get' was previously declared here
- 85 | c_dsmat_z_elt c_eigen_dsmat_z_get(c_dsmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:106:21: warning: type of 'c_eigen_dsmat_c_inv' does not match original declaration [-Wlto-type-mismatch]
- 106 | struct c_dsmat_c* c_eigen_dsmat_c_inv(c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:167:12: note: 'c_eigen_dsmat_c_inv' was previously declared here
- 167 | c_dsmat_c* c_eigen_dsmat_c_inv(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_c.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:105:8: warning: type of 'c_eigen_dsmat_c_colwise_op' does not match original declaration [-Wlto-type-mismatch]
- 105 | void c_eigen_dsmat_c_colwise_op(int, c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*);
- | ^
- ../lib/eigen_dsmat_c.cpp:150:6: note: 'c_eigen_dsmat_c_colwise_op' was previously declared here
- 150 | void c_eigen_dsmat_c_colwise_op (int op, c_dsmat_c_elt* x_ptr, INDEX m, INDEX n, c_dsmat_c_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_c.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:104:8: warning: type of 'c_eigen_dsmat_c_rowwise_op' does not match original declaration [-Wlto-type-mismatch]
- 104 | void c_eigen_dsmat_c_rowwise_op(int, c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*);
- | ^
- ../lib/eigen_dsmat_c.cpp:133:6: note: 'c_eigen_dsmat_c_rowwise_op' was previously declared here
- 133 | void c_eigen_dsmat_c_rowwise_op (int op, c_dsmat_c_elt* x_ptr, INDEX m, INDEX n, c_dsmat_c_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_c.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:103:8: warning: type of 'c_eigen_dsmat_c_swap_cols' does not match original declaration [-Wlto-type-mismatch]
- 103 | void c_eigen_dsmat_c_swap_cols(c_dsmat_c_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:127:6: note: 'c_eigen_dsmat_c_swap_cols' was previously declared here
- 127 | void c_eigen_dsmat_c_swap_cols(c_dsmat_c_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:102:8: warning: type of 'c_eigen_dsmat_c_swap_rows' does not match original declaration [-Wlto-type-mismatch]
- 102 | void c_eigen_dsmat_c_swap_rows(c_dsmat_c_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:121:6: note: 'c_eigen_dsmat_c_swap_rows' was previously declared here
- 121 | void c_eigen_dsmat_c_swap_rows(c_dsmat_c_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:101:21: warning: type of 'c_eigen_dsmat_c_transpose' does not match original declaration [-Wlto-type-mismatch]
- 101 | struct c_dsmat_c* c_eigen_dsmat_c_transpose(c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:115:12: note: 'c_eigen_dsmat_c_transpose' was previously declared here
- 115 | c_dsmat_c* c_eigen_dsmat_c_transpose(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_c.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:100:21: warning: type of 'c_eigen_dsmat_c_gemm' does not match original declaration [-Wlto-type-mismatch]
- 100 | struct c_dsmat_c* c_eigen_dsmat_c_gemm(c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:108:12: note: 'c_eigen_dsmat_c_gemm' was previously declared here
- 108 | c_dsmat_c* c_eigen_dsmat_c_gemm(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn, c_dsmat_c_elt* y_ptr, INDEX ym, INDEX yn)
- | ^
- ../lib/eigen_dsmat_c.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:97:18: warning: type of 'c_eigen_dsmat_c_data' does not match original declaration [-Wlto-type-mismatch]
- 97 | c_dsmat_c_elt* c_eigen_dsmat_c_data(struct c_dsmat_c *m);
- | ^
- ../lib/eigen_dsmat_c.cpp:96:16: note: 'c_eigen_dsmat_c_data' was previously declared here
- 96 | c_dsmat_c_elt* c_eigen_dsmat_c_data(c_dsmat_c *m)
- | ^
- ../lib/eigen_dsmat_c.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:96:8: warning: type of 'c_eigen_dsmat_c_set' does not match original declaration [-Wlto-type-mismatch]
- 96 | void c_eigen_dsmat_c_set(struct c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x);
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: type mismatch in parameter 4
- 91 | void c_eigen_dsmat_c_set(c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x)
- | ^
- ../lib/eigen_dsmat.h:18:34: note: type 'struct c_dsmat_c_elt' should match type 'c_dsmat_c_elt'
- 18 | typedef struct { float r, i; } c_dsmat_c_elt;
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: 'c_eigen_dsmat_c_set' was previously declared here
- 91 | void c_eigen_dsmat_c_set(c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x)
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:95:17: warning: type of 'c_eigen_dsmat_c_get' does not match original declaration [-Wlto-type-mismatch]
- 95 | c_dsmat_c_elt c_eigen_dsmat_c_get(struct c_dsmat_c *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: return value type mismatch
- 85 | c_dsmat_c_elt c_eigen_dsmat_c_get(c_dsmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat.h:18:34: note: type 'struct c_dsmat_c_elt' should match type 'c_dsmat_c_elt'
- 18 | typedef struct { float r, i; } c_dsmat_c_elt;
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: 'c_eigen_dsmat_c_get' was previously declared here
- 85 | c_dsmat_c_elt c_eigen_dsmat_c_get(c_dsmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lto-wrapper: warning: using serial compilation of 23 LTRANS jobs
- lto-wrapper: note: see the '-flto' option documentation for more information
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:235:44:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38,
- inlined from 'resize' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:96:19,
- inlined from 'append' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:104:13,
- inlined from 'insertBackByOuterInner' at ../lib/./Eigen/src/SparseCore/SparseMatrix.h:396:20,
- inlined from 'assign_sparse_to_sparse' at ../lib/./Eigen/src/SparseCore/SparseAssign.h:117:36:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In function 'assign_sparse_to_sparse':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen.ml > lib/eigen.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_dsmat_c.ml > lib/eigen_dsmat_c.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_types.ml > lib/eigen_types.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/ffi_eigen_bindings.ml > lib/ffi_eigen_bindings.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/ffi_eigen_generated.ml > lib/ffi_eigen_generated.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/ffi_eigen_bindings.cmo lib/ffi_eigen_bindings.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/ffi_eigen_generated.cmo lib/ffi_eigen_generated.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_types.cmo lib/eigen_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_dsmat_d.ml > lib/eigen_dsmat_d.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_dsmat_s.ml > lib/eigen_dsmat_s.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_dsmat_z.ml > lib/eigen_dsmat_z.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_spmat_c.ml > lib/eigen_spmat_c.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_spmat_d.ml > lib/eigen_spmat_d.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_spmat_s.ml > lib/eigen_spmat_s.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_spmat_z.ml > lib/eigen_spmat_z.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_tensor_d.ml > lib/eigen_tensor_d.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_tensor_s.ml > lib/eigen_tensor_s.ml.depends
- + /home/opam/.opam/4.08/bin/ocamlfind ocamldep -package ctypes.stubs -package ctypes -modules lib/eigen_utils.ml > lib/eigen_utils.ml.depends
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- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_s.cmo lib/eigen_dsmat_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_z.cmo lib/eigen_dsmat_z.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_c.cmo lib/eigen_spmat_c.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_d.cmo lib/eigen_spmat_d.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_s.cmo lib/eigen_spmat_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_z.cmo lib/eigen_spmat_z.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_tensor_d.cmo lib/eigen_tensor_d.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_tensor_s.cmo lib/eigen_tensor_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_utils.cmo lib/eigen_utils.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen.cmo lib/eigen.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlc -a -dllib -leigen_stubs -cclib -leigen_stubs -cclib -Linclude -cclib -leigen -cclib -lstdc++ -I lib lib/ffi_eigen_bindings.cmo lib/ffi_eigen_generated.cmo lib/eigen_types.cmo lib/eigen_dsmat_c.cmo lib/eigen_dsmat_d.cmo lib/eigen_dsmat_s.cmo lib/eigen_dsmat_z.cmo lib/eigen_spmat_c.cmo lib/eigen_spmat_d.cmo lib/eigen_spmat_s.cmo lib/eigen_spmat_z.cmo lib/eigen_tensor_d.cmo lib/eigen_tensor_s.cmo lib/eigen_utils.cmo lib/eigen.cmo -o lib/eigen.cma
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/ffi_eigen_bindings.cmx lib/ffi_eigen_bindings.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/ffi_eigen_generated.cmx lib/ffi_eigen_generated.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_types.cmx lib/eigen_types.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_c.cmx lib/eigen_dsmat_c.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_d.cmx lib/eigen_dsmat_d.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_s.cmx lib/eigen_dsmat_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_dsmat_z.cmx lib/eigen_dsmat_z.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_c.cmx lib/eigen_spmat_c.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_d.cmx lib/eigen_spmat_d.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_s.cmx lib/eigen_spmat_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_spmat_z.cmx lib/eigen_spmat_z.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_tensor_d.cmx lib/eigen_tensor_d.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_tensor_s.cmx lib/eigen_tensor_s.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen_utils.cmx lib/eigen_utils.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -c -g -annot -bin-annot -ccopt -O3 -ccopt -Ofast -ccopt -I/home/opam/.opam/4.08/lib/ctypes -ccopt '-march=native' -ccopt '-mfpmath=sse' -ccopt -funroll-loops -ccopt -ffast-math -ccopt -flto -package ctypes.stubs -package ctypes -I lib -o lib/eigen.cmx lib/eigen.ml
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -a -cclib -leigen_stubs -cclib -Linclude -cclib -leigen -cclib -lstdc++ -I lib lib/ffi_eigen_bindings.cmx lib/ffi_eigen_generated.cmx lib/eigen_types.cmx lib/eigen_dsmat_c.cmx lib/eigen_dsmat_d.cmx lib/eigen_dsmat_s.cmx lib/eigen_dsmat_z.cmx lib/eigen_spmat_c.cmx lib/eigen_spmat_d.cmx lib/eigen_spmat_s.cmx lib/eigen_spmat_z.cmx lib/eigen_tensor_d.cmx lib/eigen_tensor_s.cmx lib/eigen_utils.cmx lib/eigen.cmx -o lib/eigen.cmxa
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I lib -I lib lib/eigen.cmxa lib/ffi_eigen_bindings.cmx lib/ffi_eigen_generated.cmx lib/eigen_types.cmx lib/eigen_dsmat_c.cmx lib/eigen_dsmat_d.cmx lib/eigen_dsmat_s.cmx lib/eigen_dsmat_z.cmx lib/eigen_spmat_c.cmx lib/eigen_spmat_d.cmx lib/eigen_spmat_s.cmx lib/eigen_spmat_z.cmx lib/eigen_tensor_d.cmx lib/eigen_tensor_s.cmx lib/eigen_utils.cmx lib/eigen.cmx -o lib/eigen.cmxs
- + /home/opam/.opam/4.08/bin/ocamlfind ocamlopt -shared -I lib -I lib lib/eigen.cmxa lib/ffi_eigen_bindings.cmx lib/ffi_eigen_generated.cmx lib/eigen_types.cmx lib/eigen_dsmat_c.cmx lib/eigen_dsmat_d.cmx lib/eigen_dsmat_s.cmx lib/eigen_dsmat_z.cmx lib/eigen_spmat_c.cmx lib/eigen_spmat_d.cmx lib/eigen_spmat_s.cmx lib/eigen_spmat_z.cmx lib/eigen_tensor_d.cmx lib/eigen_tensor_s.cmx lib/eigen_utils.cmx lib/eigen.cmx -o lib/eigen.cmxs
- lib/eigen_spmat.h:256:17: warning: type of 'c_eigen_spmat_z_sum' does not match original declaration [-Wlto-type-mismatch]
- 256 | c_spmat_z_elt c_eigen_spmat_z_sum(struct c_spmat_z *m);
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: return value type mismatch
- 386 | c_spmat_z_elt c_eigen_spmat_z_sum(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: 'c_eigen_spmat_z_sum' was previously declared here
- 386 | c_spmat_z_elt c_eigen_spmat_z_sum(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat_z.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:255:21: warning: type of 'c_eigen_spmat_z_div_scalar' does not match original declaration [-Wlto-type-mismatch]
- 255 | struct c_spmat_z* c_eigen_spmat_z_div_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: type mismatch in parameter 2
- 376 | c_spmat_z* c_eigen_spmat_z_div_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: 'c_eigen_spmat_z_div_scalar' was previously declared here
- 376 | c_spmat_z* c_eigen_spmat_z_div_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:254:21: warning: type of 'c_eigen_spmat_z_mul_scalar' does not match original declaration [-Wlto-type-mismatch]
- 254 | struct c_spmat_z* c_eigen_spmat_z_mul_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: type mismatch in parameter 2
- 369 | c_spmat_z* c_eigen_spmat_z_mul_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: 'c_eigen_spmat_z_mul_scalar' was previously declared here
- 369 | c_spmat_z* c_eigen_spmat_z_mul_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:253:21: warning: type of 'c_eigen_spmat_z_sub_scalar' does not match original declaration [-Wlto-type-mismatch]
- 253 | struct c_spmat_z* c_eigen_spmat_z_sub_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: type mismatch in parameter 2
- 359 | c_spmat_z* c_eigen_spmat_z_sub_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: 'c_eigen_spmat_z_sub_scalar' was previously declared here
- 359 | c_spmat_z* c_eigen_spmat_z_sub_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:252:21: warning: type of 'c_eigen_spmat_z_add_scalar' does not match original declaration [-Wlto-type-mismatch]
- 252 | struct c_spmat_z* c_eigen_spmat_z_add_scalar(struct c_spmat_z *m, c_spmat_z_elt a);
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: type mismatch in parameter 2
- 349 | c_spmat_z* c_eigen_spmat_z_add_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: 'c_eigen_spmat_z_add_scalar' was previously declared here
- 349 | c_spmat_z* c_eigen_spmat_z_add_scalar(c_spmat_z *m, c_spmat_z_elt a)
- | ^
- ../lib/eigen_spmat_z.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:235:17: warning: type of 'c_eigen_spmat_z_trace' does not match original declaration [-Wlto-type-mismatch]
- 235 | c_spmat_z_elt c_eigen_spmat_z_trace(struct c_spmat_z *m);
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: return value type mismatch
- 178 | c_spmat_z_elt c_eigen_spmat_z_trace(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: 'c_eigen_spmat_z_trace' was previously declared here
- 178 | c_spmat_z_elt c_eigen_spmat_z_trace(c_spmat_z *m)
- | ^
- ../lib/eigen_spmat_z.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:226:18: warning: type of 'c_eigen_spmat_z_valueptr' does not match original declaration [-Wlto-type-mismatch]
- 226 | c_spmat_z_elt* c_eigen_spmat_z_valueptr(struct c_spmat_z *m, INDEX *l);
- | ^
- ../lib/eigen_spmat_z.cpp:120:16: note: 'c_eigen_spmat_z_valueptr' was previously declared here
- 120 | c_spmat_z_elt* c_eigen_spmat_z_valueptr(c_spmat_z *m, INDEX *l)
- | ^
- ../lib/eigen_spmat_z.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:225:8: warning: type of 'c_eigen_spmat_z_prune' does not match original declaration [-Wlto-type-mismatch]
- 225 | void c_eigen_spmat_z_prune(struct c_spmat_z *m, c_spmat_z_elt ref, double eps);
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: type mismatch in parameter 2
- 114 | void c_eigen_spmat_z_prune(c_spmat_z *m, c_spmat_z_elt ref, double eps)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: 'c_eigen_spmat_z_prune' was previously declared here
- 114 | void c_eigen_spmat_z_prune(c_spmat_z *m, c_spmat_z_elt ref, double eps)
- | ^
- ../lib/eigen_spmat_z.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:219:8: warning: type of 'c_eigen_spmat_z_insert' does not match original declaration [-Wlto-type-mismatch]
- 219 | void c_eigen_spmat_z_insert(struct c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x);
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: type mismatch in parameter 4
- 83 | void c_eigen_spmat_z_insert(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: 'c_eigen_spmat_z_insert' was previously declared here
- 83 | void c_eigen_spmat_z_insert(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat_z.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:218:8: warning: type of 'c_eigen_spmat_z_set' does not match original declaration [-Wlto-type-mismatch]
- 218 | void c_eigen_spmat_z_set(struct c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x);
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: type mismatch in parameter 4
- 78 | void c_eigen_spmat_z_set(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: 'c_eigen_spmat_z_set' was previously declared here
- 78 | void c_eigen_spmat_z_set(c_spmat_z *m, INDEX i, INDEX j, c_spmat_z_elt x)
- | ^
- ../lib/eigen_spmat_z.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:217:17: warning: type of 'c_eigen_spmat_z_get' does not match original declaration [-Wlto-type-mismatch]
- 217 | c_spmat_z_elt c_eigen_spmat_z_get(struct c_spmat_z *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: return value type mismatch
- 72 | c_spmat_z_elt c_eigen_spmat_z_get(c_spmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat.h:19:35: note: type 'struct c_spmat_z_elt' should match type 'c_spmat_z_elt'
- 19 | typedef struct { double r, i; } c_spmat_z_elt;
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: 'c_eigen_spmat_z_get' was previously declared here
- 72 | c_spmat_z_elt c_eigen_spmat_z_get(c_spmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat_z.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:201:17: warning: type of 'c_eigen_spmat_c_sum' does not match original declaration [-Wlto-type-mismatch]
- 201 | c_spmat_c_elt c_eigen_spmat_c_sum(struct c_spmat_c *m);
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: return value type mismatch
- 386 | c_spmat_c_elt c_eigen_spmat_c_sum(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: 'c_eigen_spmat_c_sum' was previously declared here
- 386 | c_spmat_c_elt c_eigen_spmat_c_sum(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat_c.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:200:21: warning: type of 'c_eigen_spmat_c_div_scalar' does not match original declaration [-Wlto-type-mismatch]
- 200 | struct c_spmat_c* c_eigen_spmat_c_div_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: type mismatch in parameter 2
- 376 | c_spmat_c* c_eigen_spmat_c_div_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: 'c_eigen_spmat_c_div_scalar' was previously declared here
- 376 | c_spmat_c* c_eigen_spmat_c_div_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:199:21: warning: type of 'c_eigen_spmat_c_mul_scalar' does not match original declaration [-Wlto-type-mismatch]
- 199 | struct c_spmat_c* c_eigen_spmat_c_mul_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: type mismatch in parameter 2
- 369 | c_spmat_c* c_eigen_spmat_c_mul_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: 'c_eigen_spmat_c_mul_scalar' was previously declared here
- 369 | c_spmat_c* c_eigen_spmat_c_mul_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:198:21: warning: type of 'c_eigen_spmat_c_sub_scalar' does not match original declaration [-Wlto-type-mismatch]
- 198 | struct c_spmat_c* c_eigen_spmat_c_sub_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: type mismatch in parameter 2
- 359 | c_spmat_c* c_eigen_spmat_c_sub_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: 'c_eigen_spmat_c_sub_scalar' was previously declared here
- 359 | c_spmat_c* c_eigen_spmat_c_sub_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:197:21: warning: type of 'c_eigen_spmat_c_add_scalar' does not match original declaration [-Wlto-type-mismatch]
- 197 | struct c_spmat_c* c_eigen_spmat_c_add_scalar(struct c_spmat_c *m, c_spmat_c_elt a);
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: type mismatch in parameter 2
- 349 | c_spmat_c* c_eigen_spmat_c_add_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: 'c_eigen_spmat_c_add_scalar' was previously declared here
- 349 | c_spmat_c* c_eigen_spmat_c_add_scalar(c_spmat_c *m, c_spmat_c_elt a)
- | ^
- ../lib/eigen_spmat_c.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:180:17: warning: type of 'c_eigen_spmat_c_trace' does not match original declaration [-Wlto-type-mismatch]
- 180 | c_spmat_c_elt c_eigen_spmat_c_trace(struct c_spmat_c *m);
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: return value type mismatch
- 178 | c_spmat_c_elt c_eigen_spmat_c_trace(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: 'c_eigen_spmat_c_trace' was previously declared here
- 178 | c_spmat_c_elt c_eigen_spmat_c_trace(c_spmat_c *m)
- | ^
- ../lib/eigen_spmat_c.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:171:18: warning: type of 'c_eigen_spmat_c_valueptr' does not match original declaration [-Wlto-type-mismatch]
- 171 | c_spmat_c_elt* c_eigen_spmat_c_valueptr(struct c_spmat_c *m, INDEX *l);
- | ^
- ../lib/eigen_spmat_c.cpp:120:16: note: 'c_eigen_spmat_c_valueptr' was previously declared here
- 120 | c_spmat_c_elt* c_eigen_spmat_c_valueptr(c_spmat_c *m, INDEX *l)
- | ^
- ../lib/eigen_spmat_c.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:170:8: warning: type of 'c_eigen_spmat_c_prune' does not match original declaration [-Wlto-type-mismatch]
- 170 | void c_eigen_spmat_c_prune(struct c_spmat_c *m, c_spmat_c_elt ref, float eps);
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: type mismatch in parameter 2
- 114 | void c_eigen_spmat_c_prune(c_spmat_c *m, c_spmat_c_elt ref, float eps)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: 'c_eigen_spmat_c_prune' was previously declared here
- 114 | void c_eigen_spmat_c_prune(c_spmat_c *m, c_spmat_c_elt ref, float eps)
- | ^
- ../lib/eigen_spmat_c.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:164:8: warning: type of 'c_eigen_spmat_c_insert' does not match original declaration [-Wlto-type-mismatch]
- 164 | void c_eigen_spmat_c_insert(struct c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x);
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: type mismatch in parameter 4
- 83 | void c_eigen_spmat_c_insert(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: 'c_eigen_spmat_c_insert' was previously declared here
- 83 | void c_eigen_spmat_c_insert(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat_c.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:163:8: warning: type of 'c_eigen_spmat_c_set' does not match original declaration [-Wlto-type-mismatch]
- 163 | void c_eigen_spmat_c_set(struct c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x);
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: type mismatch in parameter 4
- 78 | void c_eigen_spmat_c_set(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: 'c_eigen_spmat_c_set' was previously declared here
- 78 | void c_eigen_spmat_c_set(c_spmat_c *m, INDEX i, INDEX j, c_spmat_c_elt x)
- | ^
- ../lib/eigen_spmat_c.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_spmat.h:162:17: warning: type of 'c_eigen_spmat_c_get' does not match original declaration [-Wlto-type-mismatch]
- 162 | c_spmat_c_elt c_eigen_spmat_c_get(struct c_spmat_c *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: return value type mismatch
- 72 | c_spmat_c_elt c_eigen_spmat_c_get(c_spmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat.h:18:34: note: type 'struct c_spmat_c_elt' should match type 'c_spmat_c_elt'
- 18 | typedef struct { float r, i; } c_spmat_c_elt;
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: 'c_eigen_spmat_c_get' was previously declared here
- 72 | c_spmat_c_elt c_eigen_spmat_c_get(c_spmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_spmat_c.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:131:21: warning: type of 'c_eigen_dsmat_z_inv' does not match original declaration [-Wlto-type-mismatch]
- 131 | struct c_dsmat_z* c_eigen_dsmat_z_inv(c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:167:12: note: 'c_eigen_dsmat_z_inv' was previously declared here
- 167 | c_dsmat_z* c_eigen_dsmat_z_inv(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_z.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:130:8: warning: type of 'c_eigen_dsmat_z_colwise_op' does not match original declaration [-Wlto-type-mismatch]
- 130 | void c_eigen_dsmat_z_colwise_op(int, c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*);
- | ^
- ../lib/eigen_dsmat_z.cpp:150:6: note: 'c_eigen_dsmat_z_colwise_op' was previously declared here
- 150 | void c_eigen_dsmat_z_colwise_op (int op, c_dsmat_z_elt* x_ptr, INDEX m, INDEX n, c_dsmat_z_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_z.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:129:8: warning: type of 'c_eigen_dsmat_z_rowwise_op' does not match original declaration [-Wlto-type-mismatch]
- 129 | void c_eigen_dsmat_z_rowwise_op(int, c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*);
- | ^
- ../lib/eigen_dsmat_z.cpp:133:6: note: 'c_eigen_dsmat_z_rowwise_op' was previously declared here
- 133 | void c_eigen_dsmat_z_rowwise_op (int op, c_dsmat_z_elt* x_ptr, INDEX m, INDEX n, c_dsmat_z_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_z.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:128:8: warning: type of 'c_eigen_dsmat_z_swap_cols' does not match original declaration [-Wlto-type-mismatch]
- 128 | void c_eigen_dsmat_z_swap_cols(c_dsmat_z_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:127:6: note: 'c_eigen_dsmat_z_swap_cols' was previously declared here
- 127 | void c_eigen_dsmat_z_swap_cols(c_dsmat_z_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:127:8: warning: type of 'c_eigen_dsmat_z_swap_rows' does not match original declaration [-Wlto-type-mismatch]
- 127 | void c_eigen_dsmat_z_swap_rows(c_dsmat_z_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:121:6: note: 'c_eigen_dsmat_z_swap_rows' was previously declared here
- 121 | void c_eigen_dsmat_z_swap_rows(c_dsmat_z_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:126:21: warning: type of 'c_eigen_dsmat_z_transpose' does not match original declaration [-Wlto-type-mismatch]
- 126 | struct c_dsmat_z* c_eigen_dsmat_z_transpose(c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:115:12: note: 'c_eigen_dsmat_z_transpose' was previously declared here
- 115 | c_dsmat_z* c_eigen_dsmat_z_transpose(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_z.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:125:21: warning: type of 'c_eigen_dsmat_z_gemm' does not match original declaration [-Wlto-type-mismatch]
- 125 | struct c_dsmat_z* c_eigen_dsmat_z_gemm(c_dsmat_z_elt*, INDEX, INDEX, c_dsmat_z_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_z.cpp:108:12: note: 'c_eigen_dsmat_z_gemm' was previously declared here
- 108 | c_dsmat_z* c_eigen_dsmat_z_gemm(c_dsmat_z_elt* x_ptr, INDEX xm, INDEX xn, c_dsmat_z_elt* y_ptr, INDEX ym, INDEX yn)
- | ^
- ../lib/eigen_dsmat_z.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:122:18: warning: type of 'c_eigen_dsmat_z_data' does not match original declaration [-Wlto-type-mismatch]
- 122 | c_dsmat_z_elt* c_eigen_dsmat_z_data(struct c_dsmat_z *m);
- | ^
- ../lib/eigen_dsmat_z.cpp:96:16: note: 'c_eigen_dsmat_z_data' was previously declared here
- 96 | c_dsmat_z_elt* c_eigen_dsmat_z_data(c_dsmat_z *m)
- | ^
- ../lib/eigen_dsmat_z.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:121:8: warning: type of 'c_eigen_dsmat_z_set' does not match original declaration [-Wlto-type-mismatch]
- 121 | void c_eigen_dsmat_z_set(struct c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x);
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: type mismatch in parameter 4
- 91 | void c_eigen_dsmat_z_set(c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x)
- | ^
- ../lib/eigen_dsmat.h:19:35: note: type 'struct c_dsmat_z_elt' should match type 'c_dsmat_z_elt'
- 19 | typedef struct { double r, i; } c_dsmat_z_elt;
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: 'c_eigen_dsmat_z_set' was previously declared here
- 91 | void c_eigen_dsmat_z_set(c_dsmat_z *m, INDEX i, INDEX j, c_dsmat_z_elt x)
- | ^
- ../lib/eigen_dsmat_z.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:120:17: warning: type of 'c_eigen_dsmat_z_get' does not match original declaration [-Wlto-type-mismatch]
- 120 | c_dsmat_z_elt c_eigen_dsmat_z_get(struct c_dsmat_z *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: return value type mismatch
- 85 | c_dsmat_z_elt c_eigen_dsmat_z_get(c_dsmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat.h:19:35: note: type 'struct c_dsmat_z_elt' should match type 'c_dsmat_z_elt'
- 19 | typedef struct { double r, i; } c_dsmat_z_elt;
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: 'c_eigen_dsmat_z_get' was previously declared here
- 85 | c_dsmat_z_elt c_eigen_dsmat_z_get(c_dsmat_z *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_z.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:106:21: warning: type of 'c_eigen_dsmat_c_inv' does not match original declaration [-Wlto-type-mismatch]
- 106 | struct c_dsmat_c* c_eigen_dsmat_c_inv(c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:167:12: note: 'c_eigen_dsmat_c_inv' was previously declared here
- 167 | c_dsmat_c* c_eigen_dsmat_c_inv(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_c.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:105:8: warning: type of 'c_eigen_dsmat_c_colwise_op' does not match original declaration [-Wlto-type-mismatch]
- 105 | void c_eigen_dsmat_c_colwise_op(int, c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*);
- | ^
- ../lib/eigen_dsmat_c.cpp:150:6: note: 'c_eigen_dsmat_c_colwise_op' was previously declared here
- 150 | void c_eigen_dsmat_c_colwise_op (int op, c_dsmat_c_elt* x_ptr, INDEX m, INDEX n, c_dsmat_c_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_c.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:104:8: warning: type of 'c_eigen_dsmat_c_rowwise_op' does not match original declaration [-Wlto-type-mismatch]
- 104 | void c_eigen_dsmat_c_rowwise_op(int, c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*);
- | ^
- ../lib/eigen_dsmat_c.cpp:133:6: note: 'c_eigen_dsmat_c_rowwise_op' was previously declared here
- 133 | void c_eigen_dsmat_c_rowwise_op (int op, c_dsmat_c_elt* x_ptr, INDEX m, INDEX n, c_dsmat_c_elt* y_ptr)
- | ^
- ../lib/eigen_dsmat_c.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:103:8: warning: type of 'c_eigen_dsmat_c_swap_cols' does not match original declaration [-Wlto-type-mismatch]
- 103 | void c_eigen_dsmat_c_swap_cols(c_dsmat_c_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:127:6: note: 'c_eigen_dsmat_c_swap_cols' was previously declared here
- 127 | void c_eigen_dsmat_c_swap_cols(c_dsmat_c_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:102:8: warning: type of 'c_eigen_dsmat_c_swap_rows' does not match original declaration [-Wlto-type-mismatch]
- 102 | void c_eigen_dsmat_c_swap_rows(c_dsmat_c_elt*, INDEX, INDEX, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:121:6: note: 'c_eigen_dsmat_c_swap_rows' was previously declared here
- 121 | void c_eigen_dsmat_c_swap_rows(c_dsmat_c_elt* ptr, INDEX m, INDEX n, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:101:21: warning: type of 'c_eigen_dsmat_c_transpose' does not match original declaration [-Wlto-type-mismatch]
- 101 | struct c_dsmat_c* c_eigen_dsmat_c_transpose(c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:115:12: note: 'c_eigen_dsmat_c_transpose' was previously declared here
- 115 | c_dsmat_c* c_eigen_dsmat_c_transpose(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn)
- | ^
- ../lib/eigen_dsmat_c.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:100:21: warning: type of 'c_eigen_dsmat_c_gemm' does not match original declaration [-Wlto-type-mismatch]
- 100 | struct c_dsmat_c* c_eigen_dsmat_c_gemm(c_dsmat_c_elt*, INDEX, INDEX, c_dsmat_c_elt*, INDEX, INDEX);
- | ^
- ../lib/eigen_dsmat_c.cpp:108:12: note: 'c_eigen_dsmat_c_gemm' was previously declared here
- 108 | c_dsmat_c* c_eigen_dsmat_c_gemm(c_dsmat_c_elt* x_ptr, INDEX xm, INDEX xn, c_dsmat_c_elt* y_ptr, INDEX ym, INDEX yn)
- | ^
- ../lib/eigen_dsmat_c.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:97:18: warning: type of 'c_eigen_dsmat_c_data' does not match original declaration [-Wlto-type-mismatch]
- 97 | c_dsmat_c_elt* c_eigen_dsmat_c_data(struct c_dsmat_c *m);
- | ^
- ../lib/eigen_dsmat_c.cpp:96:16: note: 'c_eigen_dsmat_c_data' was previously declared here
- 96 | c_dsmat_c_elt* c_eigen_dsmat_c_data(c_dsmat_c *m)
- | ^
- ../lib/eigen_dsmat_c.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:96:8: warning: type of 'c_eigen_dsmat_c_set' does not match original declaration [-Wlto-type-mismatch]
- 96 | void c_eigen_dsmat_c_set(struct c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x);
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: type mismatch in parameter 4
- 91 | void c_eigen_dsmat_c_set(c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x)
- | ^
- ../lib/eigen_dsmat.h:18:34: note: type 'struct c_dsmat_c_elt' should match type 'c_dsmat_c_elt'
- 18 | typedef struct { float r, i; } c_dsmat_c_elt;
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: 'c_eigen_dsmat_c_set' was previously declared here
- 91 | void c_eigen_dsmat_c_set(c_dsmat_c *m, INDEX i, INDEX j, c_dsmat_c_elt x)
- | ^
- ../lib/eigen_dsmat_c.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lib/eigen_dsmat.h:95:17: warning: type of 'c_eigen_dsmat_c_get' does not match original declaration [-Wlto-type-mismatch]
- 95 | c_dsmat_c_elt c_eigen_dsmat_c_get(struct c_dsmat_c *m, INDEX i, INDEX j);
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: return value type mismatch
- 85 | c_dsmat_c_elt c_eigen_dsmat_c_get(c_dsmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat.h:18:34: note: type 'struct c_dsmat_c_elt' should match type 'c_dsmat_c_elt'
- 18 | typedef struct { float r, i; } c_dsmat_c_elt;
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: 'c_eigen_dsmat_c_get' was previously declared here
- 85 | c_dsmat_c_elt c_eigen_dsmat_c_get(c_dsmat_c *m, INDEX i, INDEX j)
- | ^
- ../lib/eigen_dsmat_c.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- lto-wrapper: warning: using serial compilation of 23 LTRANS jobs
- lto-wrapper: note: see the '-flto' option documentation for more information
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:235:44:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In member function 'reallocate':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- In member function '__ct ',
- inlined from 'reallocate' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38,
- inlined from 'resize' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:96:19,
- inlined from 'append' at ../lib/./Eigen/src/SparseCore/CompressedStorage.h:104:13,
- inlined from 'insertBackByOuterInner' at ../lib/./Eigen/src/SparseCore/SparseMatrix.h:396:20,
- inlined from 'assign_sparse_to_sparse' at ../lib/./Eigen/src/SparseCore/SparseAssign.h:117:36:
- ../lib/./Eigen/src/Core/util/Memory.h:589:13: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
- 589 | m_ptr = new T[size];
- | ^
- /usr/include/c++/14/new: In function 'assign_sparse_to_sparse':
- /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here
- 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc)
- | ^
- Phew ... it is done!
-> compiled eigen.0.0.6
Processing 65/67: [eigen: ocaml setup.ml]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "install" "ocaml" "setup.ml" "-install" (CWD=/home/opam/.opam/4.08/.opam-switch/build/eigen.0.0.6)
- File "./setup.ml", line 1775, characters 22-40:
- 1775 | let compare = Pervasives.compare
- ^^^^^^^^^^^^^^^^^^
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- File "setup.ml", line 3467, characters 16-34:
- Alert deprecated: module Stdlib.Pervasives
- Use Stdlib instead.
-
- If you need to stay compatible with OCaml < 4.07, you can use the
- stdlib-shims library: https://github.com/ocaml/stdlib-shims
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.ml
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_bindings.ml
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_generated.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_types.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_utils.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_s.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_d.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_c.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_z.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_s.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_d.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_c.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_z.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_s.ml
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_d.ml
- Installed /home/opam/.opam/4.08/lib/eigen/libeigen_stubs.a
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cma
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cmxa
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.a
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cmxs
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_d.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_d.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_d.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_s.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_s.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_s.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_z.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_z.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_z.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_c.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_c.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_c.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_d.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_d.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_d.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_s.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_s.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_s.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_z.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_z.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_z.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_c.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_c.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_c.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_d.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_d.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_d.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_s.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_s.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_s.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_utils.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_utils.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_utils.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_types.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_types.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_types.annot
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_generated.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_generated.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_generated.annot
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_bindings.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_bindings.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_bindings.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cmi
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cmt
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.annot
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_d.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_tensor_s.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_z.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_c.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_d.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_spmat_s.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_z.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_c.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_d.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_dsmat_s.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_utils.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen_types.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_generated.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/ffi_eigen_bindings.cmx
- Installed /home/opam/.opam/4.08/lib/eigen/eigen.cmx
- Installed /home/opam/.opam/4.08/lib/stublibs/dlleigen_stubs.so
- Installed /home/opam/.opam/4.08/lib/stublibs/dlleigen_stubs.so.owner
- ocamlfind: [WARNING] You have installed DLLs but the directory /home/opam/.opam/4.08/lib/stublibs is not mentioned in ld.conf
- Installed /home/opam/.opam/4.08/lib/eigen/META
-> installed eigen.0.0.6
#=== ERROR while compiling plplot.5.12.0 ======================================#
# context 2.4.0~alpha1~dev | linux/x86_64 | ocaml-base-compiler.4.08.1 | file:///home/opam/opam-repository
# path ~/.opam/4.08/.opam-switch/build/plplot.5.12.0
# command ~/.opam/opam-init/hooks/sandbox.sh build dune build -p plplot -j 255
# exit-code 1
# env-file ~/.opam/log/plplot-8-a0bd35.env
# output-file ~/.opam/log/plplot-8-a0bd35.out
### output ###
# File "src/dune", line 12, characters 27-38:
# 12 | (names plplot_core_stubs plplot_impl idlalloc)
# ^^^^^^^^^^^
# (cd _build/default/src && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -D_FILE_OFFSET_BITS=64 -D_REENTRANT -O2 -fno-strict-aliasing -fwrapv -fcommon -fPIC -g -O2 -I/usr/include/plplot -g -I /home/opam/.opam/4.08/lib/ocaml -o plplot_impl.o -c plplot_impl.c)
# plplot_impl.c: In function 'ml_plparseopts':
# plplot_impl.c:704:41: error: passing argument 2 of 'c_plparseopts' from incompatible pointer type [-Wincompatible-pointer-types]
# 704 | result = plparseopts( &argv_length, c_argv, combined_parse_method );
# | ^~~~~~
# | |
# | const char **
# In file included from /usr/include/plplot/plplotP.h:151,
# from plplot_impl.c:29:
# /usr/include/plplot/plplot.h:2305:46: note: expected 'PLCHAR_NC_MATRIX' {aka 'char **'} but argument is of type 'const char **'
# 2305 | c_plparseopts( int *p_argc, PLCHAR_NC_MATRIX argv, PLINT mode );
# | ~~~~~~~~~~~~~~~~~^~~~
<><> Error report <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>
+- The following actions were aborted
| - install owl 0.3.8
+-
+- The following actions failed
| - build plplot 5.12.0
+-
+- The following changes have been performed (the rest was aborted)
| - install base v0.13.2
| - install base-bytes base
| - install conf-openblas 0.2.2
| - install conf-pkg-config 3
| - install configurator v0.11.0
| - install csexp 1.5.2
| - install ctypes 0.16.0
| - install dune 3.16.1
| - install dune-configurator 3.16.1
| - install eigen 0.0.6
| - install integers 0.7.0
| - install jbuilder 1.0+beta20.2
| - install oasis 0.4.11
| - install ocamlbuild 0.15.0
| - install ocamlfind 1.9.6
| - install ocamlify 0.0.1
| - install ocamlmod 0.0.9
| - install owl-base 0.3.8
| - install sexplib0 v0.13.0
| - install stdio v0.13.0
| - install stdlib-shims 0.3.0
+-
<><> configurator.v0.11.0 installed successfully ><><><><><><><><><><><><><><><>
=> Note: This package is deprecated.
=> configurator is deprecated. Please use dune-configurator in new code and consider switching to it in existing projects.
# To update the current shell environment, run: eval $(opam env)
The former state can be restored with:
/usr/bin/opam switch import "/home/opam/.opam/4.08/.opam-switch/backup/state-20241110041847.export"
'opam install -vy owl.0.3.8' failed.
"/usr/bin/env" "bash" "-c" "
opam remove -y "owl.0.3.8"
opam install -vy "owl.0.3.8"
res=$?
if [ $res = 31 ]; then
if opam show -f x-ci-accept-failures: "owl.0.3.8" | grep -q '"debian-unstable"'; then
echo "This package failed and has been disabled for CI using the 'x-ci-accept-failures' field."
exit 69
fi
fi
exit $res
" failed with exit status 31
Failed: Build failed
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