- github
- ocaml
- opam-repository
- 89a6ae
- compilers,4.14,dune.3.23.0~alpha2,revdeps,eigen.0.1.0
(not at the head of any monitored branch or PR)
2026-04-30 02:04.42: New job: test eigen.0.1.0 with dune.3.23.0~alpha2, using opam dev
from https://github.com/ocaml/opam-repository.git#refs/pull/29824/head (89a6ae888498500bf7c0fc05361da936fc6acacf)
on debian-13-ocaml-4.14/amd64
To reproduce locally:
cd $(mktemp -d)
git clone --recursive "https://github.com/ocaml/opam-repository.git" && cd "opam-repository" && git fetch origin "refs/pull/29824/head" && git reset --hard 89a6ae88
git fetch origin master
git merge --no-edit d1c56642b8ca7e1166c90bfe0c74f38007bbad58
cat > ../Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-13-ocaml-4.14@sha256:9fe84ffeeaa92507d198c7af8adb382726e06ae36c031f5ef645a3241cac0353
USER 1000:1000
WORKDIR /home/opam
RUN sudo ln -f /usr/bin/opam-dev /usr/bin/opam
RUN opam init --reinit -ni
RUN opam option solver=builtin-0install && opam config report
ENV OPAMDOWNLOADJOBS="1"
ENV OPAMERRLOGLEN="0"
ENV OPAMPRECISETRACKING="1"
ENV CI="true"
ENV OPAM_REPO_CI="true"
RUN rm -rf opam-repository/
COPY --chown=1000:1000 . opam-repository/
RUN opam repository set-url --strict default opam-repository/
RUN opam update --depexts || true
RUN opam pin add -k version -yn dune.3.23.0~alpha2 3.23.0~alpha2
RUN opam reinstall dune.3.23.0~alpha2; \
res=$?; \
test "$res" != 31 && exit "$res"; \
export OPAMCLI=2.0; \
build_dir=$(opam var prefix)/.opam-switch/build; \
failed=$(ls "$build_dir"); \
partial_fails=""; \
for pkg in $failed; do \
if opam show -f x-ci-accept-failures: "$pkg" | grep -qF "\"debian-13\""; then \
echo "A package failed and has been disabled for CI using the 'x-ci-accept-failures' field."; \
fi; \
test "$pkg" != 'dune.3.23.0~alpha2' && partial_fails="$partial_fails $pkg"; \
done; \
test "${partial_fails}" != "" && echo "opam-repo-ci detected dependencies failing: ${partial_fails}"; \
exit 1
RUN opam reinstall eigen.0.1.0; \
res=$?; \
test "$res" != 31 && exit "$res"; \
export OPAMCLI=2.0; \
build_dir=$(opam var prefix)/.opam-switch/build; \
failed=$(ls "$build_dir"); \
partial_fails=""; \
for pkg in $failed; do \
if opam show -f x-ci-accept-failures: "$pkg" | grep -qF "\"debian-13\""; then \
echo "A package failed and has been disabled for CI using the 'x-ci-accept-failures' field."; \
fi; \
test "$pkg" != 'eigen.0.1.0' && partial_fails="$partial_fails $pkg"; \
done; \
test "${partial_fails}" != "" && echo "opam-repo-ci detected dependencies failing: ${partial_fails}"; \
exit 1
RUN (opam reinstall --with-test eigen.0.1.0) || true
RUN opam reinstall --with-test --verbose eigen.0.1.0; \
res=$?; \
test "$res" != 31 && exit "$res"; \
export OPAMCLI=2.0; \
build_dir=$(opam var prefix)/.opam-switch/build; \
failed=$(ls "$build_dir"); \
partial_fails=""; \
for pkg in $failed; do \
if opam show -f x-ci-accept-failures: "$pkg" | grep -qF "\"debian-13\""; then \
echo "A package failed and has been disabled for CI using the 'x-ci-accept-failures' field."; \
fi; \
test "$pkg" != 'eigen.0.1.0' && partial_fails="$partial_fails $pkg"; \
done; \
test "${partial_fails}" != "" && echo "opam-repo-ci detected dependencies failing: ${partial_fails}"; \
exit 1
END-OF-DOCKERFILE
docker build -f ../Dockerfile .
2026-04-30 02:04.42: Using cache hint "ocaml/opam:debian-13-ocaml-4.14@sha256:9fe84ffeeaa92507d198c7af8adb382726e06ae36c031f5ef645a3241cac0353-dune.3.23.0~alpha2-eigen.0.1.0-89a6ae888498500bf7c0fc05361da936fc6acacf"
2026-04-30 02:04.42: Using OBuilder spec:
((from ocaml/opam:debian-13-ocaml-4.14@sha256:9fe84ffeeaa92507d198c7af8adb382726e06ae36c031f5ef645a3241cac0353)
(user (uid 1000) (gid 1000))
(workdir /home/opam)
(run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
(run (network host)
(shell "opam init --reinit --config .opamrc-sandbox -ni"))
(run (shell "opam option solver=builtin-0install && opam config report"))
(env OPAMDOWNLOADJOBS 1)
(env OPAMERRLOGLEN 0)
(env OPAMPRECISETRACKING 1)
(env CI true)
(env OPAM_REPO_CI true)
(run (shell "rm -rf opam-repository/"))
(copy (src .) (dst opam-repository/))
(run (shell "opam repository set-url --strict default opam-repository/"))
(run (network host)
(shell "opam update --depexts || true"))
(run (shell "opam pin add -k version -yn dune.3.23.0~alpha2 3.23.0~alpha2"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall dune.3.23.0~alpha2;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'dune.3.23.0~alpha2' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall eigen.0.1.0;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'eigen.0.1.0' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
(run (network host)
(shell "(opam reinstall --with-test eigen.0.1.0) || true"))
(run (shell "opam reinstall --with-test --verbose eigen.0.1.0;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'eigen.0.1.0' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
)
2026-04-30 02:04.42: Waiting for resource in pool OCluster
2026-04-30 08:32.09: Waiting for worker…
2026-04-30 08:35.43: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
All commits already cached
Updating files: 66% (12528/18887)
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Updating files: 100% (18887/18887)
Updating files: 100% (18887/18887), done.
HEAD is now at d1c56642b8 Merge pull request #29820 from jmid/core-0.17.1-bound
Merge made by the 'ort' strategy.
.../chrome-trace/chrome-trace.3.23.0~alpha2/opam | 39 +++++++++++
.../dune-action-plugin.3.23.0~alpha2/opam | 52 ++++++++++++++
.../dune-action-trace.3.23.0~alpha2/opam | 39 +++++++++++
.../dune-build-info.3.23.0~alpha2/opam | 45 ++++++++++++
.../dune-configurator.3.23.0~alpha2/opam | 49 +++++++++++++
packages/dune-glob/dune-glob.3.23.0~alpha2/opam | 42 ++++++++++++
.../dune-private-libs.3.23.0~alpha2/opam | 50 ++++++++++++++
.../dune-rpc-lwt/dune-rpc-lwt.3.23.0~alpha2/opam | 41 +++++++++++
packages/dune-rpc/dune-rpc.3.23.0~alpha2/opam | 44 ++++++++++++
packages/dune-site/dune-site.3.23.0~alpha2/opam | 37 ++++++++++
packages/dune/dune.3.23.0~alpha2/opam | 80 ++++++++++++++++++++++
packages/dyn/dyn.3.23.0~alpha2/opam | 40 +++++++++++
packages/fs-io/fs-io.3.23.0~alpha2/opam | 39 +++++++++++
packages/ocamlc-loc/ocamlc-loc.3.23.0~alpha2/opam | 43 ++++++++++++
packages/ordering/ordering.3.23.0~alpha2/opam | 38 ++++++++++
packages/stdune/stdune.3.23.0~alpha2/opam | 46 +++++++++++++
.../top-closure/top-closure.3.23.0~alpha2/opam | 38 ++++++++++
packages/xdg/xdg.3.23.0~alpha2/opam | 39 +++++++++++
18 files changed, 801 insertions(+)
create mode 100644 packages/chrome-trace/chrome-trace.3.23.0~alpha2/opam
create mode 100644 packages/dune-action-plugin/dune-action-plugin.3.23.0~alpha2/opam
create mode 100644 packages/dune-action-trace/dune-action-trace.3.23.0~alpha2/opam
create mode 100644 packages/dune-build-info/dune-build-info.3.23.0~alpha2/opam
create mode 100644 packages/dune-configurator/dune-configurator.3.23.0~alpha2/opam
create mode 100644 packages/dune-glob/dune-glob.3.23.0~alpha2/opam
create mode 100644 packages/dune-private-libs/dune-private-libs.3.23.0~alpha2/opam
create mode 100644 packages/dune-rpc-lwt/dune-rpc-lwt.3.23.0~alpha2/opam
create mode 100644 packages/dune-rpc/dune-rpc.3.23.0~alpha2/opam
create mode 100644 packages/dune-site/dune-site.3.23.0~alpha2/opam
create mode 100644 packages/dune/dune.3.23.0~alpha2/opam
create mode 100644 packages/dyn/dyn.3.23.0~alpha2/opam
create mode 100644 packages/fs-io/fs-io.3.23.0~alpha2/opam
create mode 100644 packages/ocamlc-loc/ocamlc-loc.3.23.0~alpha2/opam
create mode 100644 packages/ordering/ordering.3.23.0~alpha2/opam
create mode 100644 packages/stdune/stdune.3.23.0~alpha2/opam
create mode 100644 packages/top-closure/top-closure.3.23.0~alpha2/opam
create mode 100644 packages/xdg/xdg.3.23.0~alpha2/opam
(from ocaml/opam:debian-13-ocaml-4.14@sha256:9fe84ffeeaa92507d198c7af8adb382726e06ae36c031f5ef645a3241cac0353)
2026-04-30 08:36.01 ---> using "59750879172620501422dd230c4db220684ca7fe3e97409754eb72dcd3390183" from cache
/: (user (uid 1000) (gid 1000))
/: (workdir /home/opam)
/home/opam: (run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
2026-04-30 08:36.01 ---> using "b9ebb375f27da820f646269f579489455309b96c19083cd92f7f6ddd05a4b5f2" from cache
/home/opam: (run (network host)
(shell "opam init --reinit --config .opamrc-sandbox -ni"))
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.
This version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.
Continue? [Y/n] y
Format upgrade done.
<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2026-04-30 08:36.01 ---> using "a861010f9e8d58738e62217a8c0fc067b85ae67b915e1ef93e08d814bb3c914c" from cache
/home/opam: (run (shell "opam option solver=builtin-0install && opam config report"))
Set to 'builtin-0install' the field solver in global configuration
# opam config report
# opam-version 2.5.1
# self-upgrade no
# system arch=x86_64 os=linux os-distribution=debian os-version=13
# solver builtin-0install
# install-criteria -changed,-count[avoid-version,solution]
# upgrade-criteria -count[avoid-version,solution]
# jobs 71
# repositories 1 (version-controlled)
# pinned 1 (version)
# current-switch 4.14
# invariant ["ocaml-base-compiler" {= "4.14.3"}]
# compiler-packages ocaml-base-compiler.4.14.3, ocaml-options-vanilla.1
# ocaml:native true
# ocaml:native-tools true
# ocaml:native-dynlink true
# ocaml:stubsdir /home/opam/.opam/4.14/lib/ocaml/stublibs:/home/opam/.opam/4.14/lib/ocaml
# ocaml:preinstalled false
# ocaml:compiler 4.14.3
2026-04-30 08:36.01 ---> using "a880c606232c92d84d818c349c45696fe9be139917bfa5f7b1065b497e8df441" from cache
/home/opam: (env OPAMDOWNLOADJOBS 1)
/home/opam: (env OPAMERRLOGLEN 0)
/home/opam: (env OPAMPRECISETRACKING 1)
/home/opam: (env CI true)
/home/opam: (env OPAM_REPO_CI true)
/home/opam: (run (shell "rm -rf opam-repository/"))
2026-04-30 08:36.01 ---> using "47c085e53aa5880966ff9fc1e1e12a4661255166181f7931a397db06034201cf" from cache
/home/opam: (copy (src .) (dst opam-repository/))
2026-04-30 08:36.03 ---> using "4f46738dfb91aa0cd6670022d574de26b7ba05050d8f85957ea4872d96399e01" from cache
/home/opam: (run (shell "opam repository set-url --strict default opam-repository/"))
[default] Initialised
2026-04-30 08:36.03 ---> using "f445e8c26fbca2dd0e343fb9cad949aab8e50ebe8f19361a10c799b6322ab39c" from cache
/home/opam: (run (network host)
(shell "opam update --depexts || true"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian trixie InRelease
- Get:2 http://deb.debian.org/debian trixie-updates InRelease [47.3 kB]
- Get:3 http://deb.debian.org/debian-security trixie-security InRelease [43.4 kB]
- Get:4 http://deb.debian.org/debian-security trixie-security/main amd64 Packages [129 kB]
- Fetched 219 kB in 1s (233 kB/s)
- Reading package lists...
-
2026-04-30 08:36.03 ---> using "b966a5b49a15ba3eb63ca44315c18e89b0e8b1ab5327a74622eb8f27705503f7" from cache
/home/opam: (run (shell "opam pin add -k version -yn dune.3.23.0~alpha2 3.23.0~alpha2"))
dune is now pinned to version 3.23.0~alpha2
2026-04-30 08:36.03 ---> using "25765793fc7cef20054e052a9de3d7d38466f3811e35fee48d28bad9710db3b2" from cache
/home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall dune.3.23.0~alpha2;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'dune.3.23.0~alpha2' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
dune.3.23.0~alpha2 is not installed. Install it? [Y/n] y
The following actions will be performed:
=== install 1 package
- install dune 3.23.0~alpha2 (pinned)
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved dune.3.23.0~alpha2 (cached)
-> installed dune.3.23.0~alpha2
Done.
# To update the current shell environment, run: eval $(opam env)
2026-04-30 08:36.03 ---> using "8638839e5ae5cf3f1965d4f7cf42b88935780d5bcff7e41a79deffdd572bdcbf" from cache
/home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall eigen.0.1.0;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'eigen.0.1.0' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
eigen.0.1.0 is not installed. Install it? [Y/n] y
The following actions will be performed:
=== install 6 packages
- install bigarray-compat 1.1.0 [required by ctypes]
- install ctypes 0.20.2 [required by eigen]
- install eigen 0.1.0
- install integers 0.7.0 [required by ctypes]
- install ocamlfind 1.9.8 [required by ctypes]
- install stdlib-shims 0.3.0 [required by integers]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved bigarray-compat.1.1.0 (cached)
-> retrieved ctypes.0.20.2 (cached)
-> installed bigarray-compat.1.1.0
-> retrieved eigen.0.1.0 (https://opam.ocaml.org/cache)
-> retrieved integers.0.7.0 (cached)
-> retrieved ocamlfind.1.9.8 (cached)
-> retrieved stdlib-shims.0.3.0 (cached)
-> installed stdlib-shims.0.3.0
-> installed integers.0.7.0
-> installed ocamlfind.1.9.8
-> installed ctypes.0.20.2
-> installed eigen.0.1.0
Done.
# To update the current shell environment, run: eval $(opam env)
2026-04-30 08:42.54 ---> saved as "ef012b0c451e8d044e4db0fbd62c9ef6d99d2efaef92d3e3cffde77d1b9dc615"
/home/opam: (run (network host)
(shell "(opam reinstall --with-test eigen.0.1.0) || true"))
The following actions will be performed:
=== recompile 1 package
- recompile eigen 0.1.0
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved eigen.0.1.0 (https://opam.ocaml.org/cache)
-> removed eigen.0.1.0
-> installed eigen.0.1.0
Done.
# To update the current shell environment, run: eval $(opam env)
2026-04-30 08:49.17 ---> saved as "778d91c40c472d7a11125e9b8d151234fa48983c3614052aca54497233316f12"
/home/opam: (run (shell "opam reinstall --with-test --verbose eigen.0.1.0;\
\n res=$?;\
\n test \"$res\" != 31 && exit \"$res\";\
\n export OPAMCLI=2.0;\
\n build_dir=$(opam var prefix)/.opam-switch/build;\
\n failed=$(ls \"$build_dir\");\
\n partial_fails=\"\";\
\n for pkg in $failed; do\
\n if opam show -f x-ci-accept-failures: \"$pkg\" | grep -qF \"\\\"debian-13\\\"\"; then\
\n echo \"A package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\";\
\n fi;\
\n test \"$pkg\" != 'eigen.0.1.0' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
The following actions will be performed:
=== recompile 1 package
- recompile eigen 0.1.0
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
Processing 1/4: [eigen.0.1.0: extract]
-> retrieved eigen.0.1.0 (cached)
Processing 2/4: [eigen: dune build]
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "eigen_cpp/libeigen_cpp_stubs.a" (CWD=/home/opam/.opam/4.14/.opam-switch/build/eigen.0.1.0)
- (cd _build/default/eigen_cpp/lib && /usr/bin/make)
- 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
- 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
- a - eigen_dsmat.o
- a - eigen_spmat.o
- a - 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'
- ...TRUNCATED BY DUNE...
- ./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
- ar: creating libeigen.a
- (cd _build/default/eigen_cpp/lib && /usr/bin/make dynamic)
- g++ -O3 -std=c++11 -I. -shared -fPIC -ansi -Wno-extern-c-compat -Wno-c++11-long-long -Wno-invalid-partial-specialization -I. eigen_dsmat.cpp eigen_spmat.cpp -o libeigen.so
+ /home/opam/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "eigen" "-j" "71" (CWD=/home/opam/.opam/4.14/.opam-switch/build/eigen.0.1.0)
- (cd _build/default && /home/opam/.opam/4.14/bin/ocamlmklib.opt -g -o eigen/eigen_stubs eigen/ffi_eigen_generated_stub.o eigen/eigen_utils_stubs.o -ldopt -lstdc++ -ldopt -Leigen_cpp -ldopt -leigen_cpp_stubs)
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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 24 LTRANS jobs
- lto-wrapper: note: see the '-flto' option documentation for more information
- In member function '__ct ',
- inlined from 'reallocate' at eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:235:44:
- eigen_cpp/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)
- | ^
- (cd _build/default && /home/opam/.opam/4.14/bin/ocamlopt.opt -w -40 -g -shared -linkall -I eigen -o eigen/eigen.cmxs eigen/eigen.cmxa)
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_z.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:386:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:376:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:369:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:359:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:349:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:178:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:120:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:114:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:83:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:78:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_spmat_c.cpp:72:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_z.cpp:85:15: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:167:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:150:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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*);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:133:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:127:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:121:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:115:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:108:12: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:96:16: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/lib/eigen_dsmat_c.cpp:91:6: note: code may be misoptimized unless '-fno-strict-aliasing' is used
- eigen/../eigen_cpp/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);
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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;
- | ^
- eigen_cpp/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)
- | ^
- eigen_cpp/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 24 LTRANS jobs
- lto-wrapper: note: see the '-flto' option documentation for more information
- In member function '__ct ',
- inlined from 'reallocate' at eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:234:38:
- eigen_cpp/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 eigen_cpp/lib/./Eigen/src/SparseCore/CompressedStorage.h:235:44:
- eigen_cpp/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)
- | ^
-> compiled eigen.0.1.0
-> removed eigen.0.1.0
-> installed eigen.0.1.0
Done.
# To update the current shell environment, run: eval $(opam env)
2026-04-30 08:55.46 ---> saved as "7a5e56a01398f1ebcf11a7c5e352bc31da9f2ee3d8cc3c76faa2e5c5ab590ee0"
Job succeeded
2026-04-30 08:56.06: Job succeeded