- github
- ocaml
- opam-repository
- 3e0c39
- compilers,4.14,dune.3.22.2,revdeps,eigen.0.1.0
(not at the head of any monitored branch or PR)
2026-04-10 17:57.44: New job: test eigen.0.1.0 with dune.3.22.2, using opam dev
from https://github.com/ocaml/opam-repository.git#refs/pull/29704/head (3e0c395e7b1393a792367f8edca3654dac71e6fd)
on debian-13-ocaml-4.14/amd64
To reproduce locally:
cd $(mktemp -d)
git clone --recursive "https://github.com/ocaml/opam-repository.git" && cd "opam-repository" && git fetch origin "refs/pull/29704/head" && git reset --hard 3e0c395e
git fetch origin master
git merge --no-edit 9d8ceab8e9f49f5671cf459997c8a47cf0e675ca
cat > ../Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-13-ocaml-4.14@sha256:4457c533769cd1c32fd9fb5fb13e5a0a285ba114860db7ac2f34c1c21e5690e4
USER 1000:1000
WORKDIR /home/opam
RUN sudo ln -f /usr/bin/opam-dev /usr/bin/opam
RUN opam init --reinit -ni
RUN opam option solver=builtin-0install && opam config report
ENV OPAMDOWNLOADJOBS="1"
ENV OPAMERRLOGLEN="0"
ENV OPAMPRECISETRACKING="1"
ENV CI="true"
ENV OPAM_REPO_CI="true"
RUN rm -rf opam-repository/
COPY --chown=1000:1000 . opam-repository/
RUN opam repository set-url --strict default opam-repository/
RUN opam update --depexts || true
RUN opam pin add -k version -yn dune.3.22.2 3.22.2
RUN opam reinstall dune.3.22.2; \
res=$?; \
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 "$pkg" != 'dune.3.22.2' && partial_fails="$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: ${partial_fails}"; \
exit 1
END-OF-DOCKERFILE
docker build -f ../Dockerfile .
2026-04-10 17:57.44: Using cache hint "ocaml/opam:debian-13-ocaml-4.14@sha256:4457c533769cd1c32fd9fb5fb13e5a0a285ba114860db7ac2f34c1c21e5690e4-dune.3.22.2-eigen.0.1.0-3e0c395e7b1393a792367f8edca3654dac71e6fd"
2026-04-10 17:57.44: Using OBuilder spec:
((from ocaml/opam:debian-13-ocaml-4.14@sha256:4457c533769cd1c32fd9fb5fb13e5a0a285ba114860db7ac2f34c1c21e5690e4)
(user (uid 1000) (gid 1000))
(workdir /home/opam)
(run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
(run (network host)
(shell "opam init --reinit --config .opamrc-sandbox -ni"))
(run (shell "opam option solver=builtin-0install && opam config report"))
(env OPAMDOWNLOADJOBS 1)
(env OPAMERRLOGLEN 0)
(env OPAMPRECISETRACKING 1)
(env CI true)
(env OPAM_REPO_CI true)
(run (shell "rm -rf opam-repository/"))
(copy (src .) (dst opam-repository/))
(run (shell "opam repository set-url --strict default opam-repository/"))
(run (network host)
(shell "opam update --depexts || true"))
(run (shell "opam pin add -k version -yn dune.3.22.2 3.22.2"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall dune.3.22.2;\
\n res=$?;\
\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 \"$pkg\" != 'dune.3.22.2' && partial_fails=\"$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"))
)
2026-04-10 17:57.44: Waiting for resource in pool OCluster
2026-04-11 03:28.07: Waiting for worker…
2026-04-11 03:30.47: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
All commits already cached
HEAD is now at 9d8ceab8e9 Merge pull request #29697 from filipeom/opam-publish-smtml.0.25.0
Updating 9d8ceab8e9..3e0c395e7b
Fast-forward
packages/chrome-trace/chrome-trace.3.22.2/opam | 39 +++++++++++
.../dune-action-plugin.3.22.2/opam | 52 +++++++++++++++
.../dune-action-trace.3.22.2/opam | 39 +++++++++++
.../dune-build-info/dune-build-info.3.22.2/opam | 45 +++++++++++++
.../dune-configurator.3.22.2/opam | 49 ++++++++++++++
packages/dune-glob/dune-glob.3.22.2/opam | 42 ++++++++++++
.../dune-private-libs.3.22.2/opam | 50 +++++++++++++++
packages/dune-rpc-lwt/dune-rpc-lwt.3.22.2/opam | 41 ++++++++++++
packages/dune-rpc/dune-rpc.3.22.2/opam | 44 +++++++++++++
packages/dune-site/dune-site.3.22.2/opam | 37 +++++++++++
packages/dune/dune.3.22.2/opam | 75 ++++++++++++++++++++++
packages/dyn/dyn.3.22.2/opam | 40 ++++++++++++
packages/fs-io/fs-io.3.22.2/opam | 39 +++++++++++
packages/ocamlc-loc/ocamlc-loc.3.22.2/opam | 43 +++++++++++++
packages/ordering/ordering.3.22.2/opam | 38 +++++++++++
packages/stdune/stdune.3.22.2/opam | 46 +++++++++++++
packages/top-closure/top-closure.3.22.2/opam | 38 +++++++++++
packages/xdg/xdg.3.22.2/opam | 39 +++++++++++
18 files changed, 796 insertions(+)
create mode 100644 packages/chrome-trace/chrome-trace.3.22.2/opam
create mode 100644 packages/dune-action-plugin/dune-action-plugin.3.22.2/opam
create mode 100644 packages/dune-action-trace/dune-action-trace.3.22.2/opam
create mode 100644 packages/dune-build-info/dune-build-info.3.22.2/opam
create mode 100644 packages/dune-configurator/dune-configurator.3.22.2/opam
create mode 100644 packages/dune-glob/dune-glob.3.22.2/opam
create mode 100644 packages/dune-private-libs/dune-private-libs.3.22.2/opam
create mode 100644 packages/dune-rpc-lwt/dune-rpc-lwt.3.22.2/opam
create mode 100644 packages/dune-rpc/dune-rpc.3.22.2/opam
create mode 100644 packages/dune-site/dune-site.3.22.2/opam
create mode 100644 packages/dune/dune.3.22.2/opam
create mode 100644 packages/dyn/dyn.3.22.2/opam
create mode 100644 packages/fs-io/fs-io.3.22.2/opam
create mode 100644 packages/ocamlc-loc/ocamlc-loc.3.22.2/opam
create mode 100644 packages/ordering/ordering.3.22.2/opam
create mode 100644 packages/stdune/stdune.3.22.2/opam
create mode 100644 packages/top-closure/top-closure.3.22.2/opam
create mode 100644 packages/xdg/xdg.3.22.2/opam
(from ocaml/opam:debian-13-ocaml-4.14@sha256:4457c533769cd1c32fd9fb5fb13e5a0a285ba114860db7ac2f34c1c21e5690e4)
2026-04-11 03:46.32 ---> using "e7349b5faa6e8ea47e3f73a0784842b9d8524e468ce596e92633dbea53bd1c16" from cache
/: (user (uid 1000) (gid 1000))
/: (workdir /home/opam)
/home/opam: (run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
2026-04-11 03:46.32 ---> using "345d07c1ddcf0b692213607682954d9bdf190a7dc793f33951a109185e732dcb" 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
[NOTE] The 'jobs' option was reset, its value was 71 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=71 --global
Format upgrade done.
<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2026-04-11 03:46.32 ---> using "6e021c655ca00bde9af60e23db55b09a0bcc3db0d3ca38d66f78ad53e254a31c" 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 2.5.0
# 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 255
# 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
2026-04-11 03:46.32 ---> using "7b2a5ae62cf702b99c177da358372ff585494a0b1c5dfffe5c4eda3046bc59fb" 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/"))
2026-04-11 03:46.32 ---> using "2d8e28a183d0990d4c5f7a587471f7c743cdf0d9f00bdf4de7761e94ec09202a" from cache
/home/opam: (copy (src .) (dst opam-repository/))
2026-04-11 03:46.32 ---> using "43c49734bd8015921029b9a907dd77c0e05208c46b686916515831f5a9e9d500" from cache
/home/opam: (run (shell "opam repository set-url --strict default opam-repository/"))
[default] Initialised
2026-04-11 03:46.32 ---> using "bb36992fd0066703535b2984ee1ead3db92bb1f04a8df092631924067dac4082" 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 [121 kB]
- Fetched 211 kB in 0s (2063 kB/s)
- Reading package lists...
2026-04-11 03:46.32 ---> using "e0d9ada0baddc41d2c835edef7d0cf7cceebd2dadac41fda17c9e860b5313a74" from cache
/home/opam: (run (shell "opam pin add -k version -yn dune.3.22.2 3.22.2"))
dune is now pinned to version 3.22.2
2026-04-11 03:46.32 ---> using "a60db6b945be7f2fc9953546cee71bf416921d54f02951a4c9176dbdf1065520" from cache
/home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall dune.3.22.2;\
\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 \"$pkg\" != 'dune.3.22.2' && partial_fails=\"$partial_fails $pkg\";\
\n done;\
\n test \"${partial_fails}\" != \"\" && echo \"opam-repo-ci detected dependencies failing: ${partial_fails}\";\
\n exit 1"))
dune.3.22.2 is not installed. Install it? [Y/n] y
The following actions will be performed:
=== install 1 package
- install dune 3.22.2 (pinned)
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved dune.3.22.2 (cached)
-> installed dune.3.22.2
Done.
# To update the current shell environment, run: eval $(opam env)
2026-04-11 03:46.32 ---> using "59eacf68137f7dccf94b9ebc5274fdc537230a8c71c2eb52f8fcf698829c6d46" from cache
/home/opam: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam reinstall eigen.0.1.0;\
\n res=$?;\
\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)
2026-04-11 03:49.09 ---> saved as "916f35cf867db40b081cf4e7c8679b04d94d0c6dadaf3a865df0b0eb6b8125d4"
/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 $(opam env)
2026-04-11 03:51.39 ---> saved as "81d1ff0dbfa0caf35bf85cd93cfc4df123b45cb549adad0eb0252361bedcdbe9"
/home/opam: (run (shell "opam reinstall --with-test --verbose eigen.0.1.0;\
\n res=$?;\
\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" "255" (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)
2026-04-11 03:54.04 ---> saved as "fbfc89bd9ba2317146e0a0c179859c4e5edcbfc3e0980dbfac1469270ed77342"
Job succeeded
2026-04-11 03:54.12: Job succeeded