Building on spring
(from freebsd)
2024-12-16 23:29.54 ---> using "77d5fe31836124b4684d554707425c4fde23f9ef3df0a804431a47419573778d" from cache
/: (user (uid 1000) (gid 1000))
/: (env OPAMPRECISETRACKING 1)
/: (env OPAMUTF8 never)
/: (env OPAMEXTERNALSOLVER builtin-0install)
/: (env OPAMCRITERIA +removed)
/: (env CI true)
/: (env OPAM_HEALTH_CHECK_CI true)
/: (run (shell "sudo ln -f /usr/local/bin/opam-dev /usr/local/bin/opam"))
2024-12-16 23:29.55 ---> using "7afea9128a2830beedf345f0b46af5484579ebada7710165f445c6c5b18563a9" from cache
/: (run (network host)
(shell "rm -rf ~/opam-repository && git clone -q 'https://github.com/ocaml/opam-repository' ~/opam-repository && git -C ~/opam-repository checkout -q 4c55f2acaf27f0a15996d4dc0dd13e0b2e5f3cc1"))
2024-12-16 23:29.55 ---> using "d701441ac9189e76e6aabd2fd8f272b1b496c95092ee71a867994fa042b099bd" from cache
/: (run (shell "rm -rf ~/.opam && opam init -ya --bare ~/opam-repository"))
No configuration file found, using built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.
<><> Fetching repository information ><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
User configuration:
~/.profile is already up-to-date.
[NOTE] Make sure that ~/.profile is well sourced in your ~/.bashrc.
2024-12-16 23:29.55 ---> using "b9fb679fd35ef44bcfc79e6d6bda1d7df4c7a62f3e55ae0f5e83fdf081890ebd" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam switch create --repositories=default '4.14.2' 'ocaml-base-compiler.4.14.2'"))
<><> Installing new switch packages <><><><><><><><><><><><><><><><><><><><><><>
Switch invariant: ["ocaml-base-compiler" {= "4.14.2"}]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> installed base-bigarray.base
-> installed base-threads.base
-> installed base-unix.base
-> installed host-arch-x86_64.1
-> installed host-system-other.1
-> installed ocaml-options-vanilla.1
-> retrieved ocaml-config.2 (2 extra sources)
-> retrieved ocaml-config.2 (2 extra sources)
-> retrieved ocaml-base-compiler.4.14.2 (https://github.com/ocaml/ocaml/archive/4.14.2.tar.gz)
-> installed ocaml-base-compiler.4.14.2
-> installed ocaml-config.2
-> installed ocaml.4.14.2
Done.
# To update the current shell environment, run: eval $(opam env --switch=4.14.2)
2024-12-16 23:29.56 ---> using "547453bc92689f28aa8edc21a52a1e9e27df734801eca758d47ba952c2523565" from cache
/: (run (network host)
(shell "opam update --depexts"))
[WARNING] Unknown update command for bsd, skipping system update
2024-12-16 23:29.56 ---> using "4b918804cc7357d53e204f4acf17a07f696e1dc195f9f8d38a6270eb2ed9f428" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "\
\nopam remove -y \"eigen.0.3.3\"\
\nopam install -vy \"eigen.0.3.3\"\
\nres=$?\
\nif [ $res = 31 ]; then\
\n if opam show -f x-ci-accept-failures: \"eigen.0.3.3\" | grep -q '\"freebsd\"'; then\
\n echo \"This package failed and has been disabled for CI using the 'x-ci-accept-failures' field.\"\
\n exit 69\
\n fi\
\nfi\
\n\
\n\
\nexit $res\
\n"))
[NOTE] eigen.0.3.3 is not installed.
Nothing to do.
The following actions will be performed:
=== install 8 packages
- install bigarray-compat 1.1.0 [required by ctypes]
- install csexp 1.5.2 [required by dune-configurator]
- install ctypes 0.23.0 [required by eigen]
- install dune 3.17.0 [required by eigen]
- install dune-configurator 3.17.0 [required by eigen]
- install eigen 0.3.3
- install integers 0.7.0 [required by ctypes]
- install stdlib-shims 0.3.0 [required by integers]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
Processing 1/23: [bigarray-compat.1.1.0: extract]
Processing 2/23: [bigarray-compat.1.1.0: extract] [csexp.1.5.2: extract]
Processing 3/23: [bigarray-compat.1.1.0: extract] [csexp.1.5.2: extract] [ctypes.0.23.0: extract]
-> retrieved csexp.1.5.2 (cached)
Processing 3/23: [bigarray-compat.1.1.0: extract] [ctypes.0.23.0: extract]
Processing 4/23: [bigarray-compat.1.1.0: extract] [ctypes.0.23.0: extract] [dune.3.17.0, dune-configurator.3.17.0: extract]
-> retrieved ctypes.0.23.0 (cached)
Processing 4/23: [bigarray-compat.1.1.0: extract] [dune.3.17.0, dune-configurator.3.17.0: extract]
Processing 5/23: [bigarray-compat.1.1.0: extract] [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract]
-> retrieved bigarray-compat.1.1.0 (cached)
Processing 5/23: [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract]
Processing 6/23: [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract] [integers.0.7.0: extract]
-> retrieved integers.0.7.0 (cached)
Processing 6/23: [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract]
Processing 7/23: [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract] [stdlib-shims.0.3.0: extract]
-> retrieved stdlib-shims.0.3.0 (cached)
Processing 7/23: [dune.3.17.0, dune-configurator.3.17.0: extract] [eigen.0.3.3: extract]
-> retrieved eigen.0.3.3 (cached)
Processing 7/23: [dune.3.17.0, dune-configurator.3.17.0: extract]
-> retrieved dune.3.17.0, dune-configurator.3.17.0 (cached)
Processing 8/23: [dune: ocaml 7]
+ /home/opam/.opam/4.14.2/bin/ocaml "boot/bootstrap.ml" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/dune.3.17.0)
- ocamlc -output-complete-exe -w -24 -g -o .duneboot.exe -I boot unix.cma boot/libs.ml boot/duneboot.ml
- ./.duneboot.exe -j 7
-
Processing 8/23: [dune: ./_boot/dune.exe build]
+ /home/opam/.opam/4.14.2/.opam-switch/build/dune.3.17.0/./_boot/dune.exe "build" "dune.install" "--release" "--profile" "dune-bootstrap" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/dune.3.17.0)
-> compiled dune.3.17.0
-> installed dune.3.17.0
Processing 10/23: [bigarray-compat: dune build]
Processing 11/23: [bigarray-compat: dune build] [csexp: dune build]
Processing 12/23: [bigarray-compat: dune build] [csexp: dune build] [stdlib-shims: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "stdlib-shims" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/stdlib-shims.0.3.0)
-> compiled stdlib-shims.0.3.0
Processing 12/23: [bigarray-compat: dune build] [csexp: dune build]
-> installed stdlib-shims.0.3.0
Processing 13/23: [bigarray-compat: dune build] [csexp: dune build]
Processing 14/23: [bigarray-compat: dune build] [csexp: dune build] [integers: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "csexp" "-j" "7" "@install" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/csexp.1.5.2)
-> compiled csexp.1.5.2
Processing 14/23: [bigarray-compat: dune build] [integers: dune build]
-> installed csexp.1.5.2
Processing 15/23: [bigarray-compat: dune build] [integers: dune build]
Processing 16/23: [bigarray-compat: dune build] [dune-configurator: rm] [integers: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "integers" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/integers.0.7.0)
-> compiled integers.0.7.0
Processing 16/23: [bigarray-compat: dune build] [dune-configurator: rm]
-> installed integers.0.7.0
Processing 17/23: [bigarray-compat: dune build] [dune-configurator: rm]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "bigarray-compat" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/bigarray-compat.1.1.0)
-> compiled bigarray-compat.1.1.0
Processing 17/23: [dune-configurator: rm]
-> installed bigarray-compat.1.1.0
Processing 18/23: [dune-configurator: rm]
+ /bin/rm "-rf" "vendor/csexp" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/dune-configurator.3.17.0)
+ /bin/rm "-rf" "vendor/pp" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/dune-configurator.3.17.0)
Processing 18/23: [dune-configurator: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "dune-configurator" "-j" "7" "@install" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/dune-configurator.3.17.0)
-> compiled dune-configurator.3.17.0
-> installed dune-configurator.3.17.0
Processing 20/23: [ctypes: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "ctypes" "-j" "7" "--promote-install-files=false" "@install" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/ctypes.0.23.0)
Processing 20/23: [ctypes: dune install]
+ /home/opam/.opam/4.14.2/bin/dune "install" "-p" "ctypes" "--create-install-files" "ctypes" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/ctypes.0.23.0)
-> compiled ctypes.0.23.0
-> installed ctypes.0.23.0
Processing 22/23: [eigen: dune build]
+ /home/opam/.opam/4.14.2/bin/dune "build" "-p" "eigen" "-j" "7" (CWD=/home/opam/.opam/4.14.2/.opam-switch/build/eigen.0.3.3)
- (cd _build/default/eigen_cpp && /usr/bin/cc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -fPIC -ansi -pedantic -O3 -std=c++11 -Ofast -march=native -mfpmath=sse -msse2 -funroll-loops -ffast-math -g -I /home/opam/.opam/4.14.2/lib/ocaml -I /home/opam/.opam/4.14.2/lib/bigarray-compat -I /home/opam/.opam/4.14.2/lib/ctypes -I /home/opam/.opam/4.14.2/lib/integers -I /home/opam/.opam/4.14.2/lib/stdlib-shims -I lib -I lib/unsupported -o eigen_spmat.o -c lib/eigen_spmat.cpp)
- In file included from lib/eigen_spmat.cpp:9:
- lib/eigen_spmat.h:34:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 34 | struct c_spmat_s {};
- | ^
- lib/eigen_spmat.h:94:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 94 | struct c_spmat_d {};
- | ^
- lib/eigen_spmat.h:154:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 154 | struct c_spmat_c {};
- | ^
- lib/eigen_spmat.h:209:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 209 | struct c_spmat_z {};
- | ^
- In file included from lib/eigen_spmat.cpp:13:
- lib/eigen_spmat_s.cpp:386:19: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 386 | spmat_s_elt a = std::numeric_limits<spmat_s_elt>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/eigen_spmat_s.cpp:401:20: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 401 | spmat_s_elt a = -std::numeric_limits<spmat_s_elt>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- In file included from lib/eigen_spmat.cpp:14:
- lib/eigen_spmat_d.cpp:386:19: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 386 | spmat_d_elt a = std::numeric_limits<spmat_d_elt>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/eigen_spmat_d.cpp:401:20: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 401 | spmat_d_elt a = -std::numeric_limits<spmat_d_elt>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- 8 warnings generated.
- (cd _build/default/eigen_cpp && /usr/bin/cc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -fPIC -ansi -pedantic -O3 -std=c++11 -Ofast -march=native -mfpmath=sse -msse2 -funroll-loops -ffast-math -g -I /home/opam/.opam/4.14.2/lib/ocaml -I /home/opam/.opam/4.14.2/lib/bigarray-compat -I /home/opam/.opam/4.14.2/lib/ctypes -I /home/opam/.opam/4.14.2/lib/integers -I /home/opam/.opam/4.14.2/lib/stdlib-shims -I lib -I lib/unsupported -o eigen_dsmat.o -c lib/eigen_dsmat.cpp)
- In file included from lib/eigen_dsmat.cpp:9:
- lib/eigen_dsmat.h:34:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 34 | struct c_dsmat_s {};
- | ^
- lib/eigen_dsmat.h:61:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 61 | struct c_dsmat_d {};
- | ^
- lib/eigen_dsmat.h:86:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 86 | struct c_dsmat_c {};
- | ^
- lib/eigen_dsmat.h:111:3: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 111 | struct c_dsmat_z {};
- | ^
- 4 warnings generated.
- (cd _build/default/eigen_cpp && /usr/bin/cc -O2 -fno-strict-aliasing -fwrapv -pthread -fPIC -fPIC -ansi -pedantic -O3 -std=c++11 -Ofast -march=native -mfpmath=sse -msse2 -funroll-loops -ffast-math -g -I /home/opam/.opam/4.14.2/lib/ocaml -I /home/opam/.opam/4.14.2/lib/bigarray-compat -I /home/opam/.opam/4.14.2/lib/ctypes -I /home/opam/.opam/4.14.2/lib/integers -I /home/opam/.opam/4.14.2/lib/stdlib-shims -I lib -I lib/unsupported -o eigen_tensor.o -c lib/eigen_tensor.cpp)
- In file included from lib/eigen_tensor.cpp:14:
- lib/eigen_tensor.h:42:4: warning: empty struct has size 0 in C, size 1 in C++ [-Wextern-c-compat]
- 42 | struct c_tensor_d {};
- | ^
- In file included from lib/eigen_tensor.cpp:8:
- In file included from lib/unsupported/Eigen/CXX11/Tensor:30:
- In file included from lib/unsupported/Eigen/CXX11/../SpecialFunctions:46:
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:286:27: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 286 | const Scalar maxnum = NumTraits<Scalar>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1515:48: note: in instantiation of member function 'Eigen::internal::digamma_impl<float>::run' requested here
- 1515 | return EIGEN_MATHFUNC_IMPL(digamma, Scalar)::run(x);
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:19:37: note: in instantiation of function template specialization 'Eigen::numext::digamma<float>' requested here
- 19 | return Eigen::half(Eigen::numext::digamma(static_cast<float>(a)));
- | ^
- In file included from lib/eigen_tensor.cpp:7:
- In file included from lib/Eigen/Core:351:
- lib/Eigen/src/Core/NumTraits.h:141:12: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 141 | return numext::numeric_limits<T>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:286:46: note: in instantiation of member function 'Eigen::GenericNumTraits<float>::infinity' requested here
- 286 | const Scalar maxnum = NumTraits<Scalar>::infinity();
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1515:48: note: in instantiation of member function 'Eigen::internal::digamma_impl<float>::run' requested here
- 1515 | return EIGEN_MATHFUNC_IMPL(digamma, Scalar)::run(x);
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:19:37: note: in instantiation of function template specialization 'Eigen::numext::digamma<float>' requested here
- 19 | return Eigen::half(Eigen::numext::digamma(static_cast<float>(a)));
- | ^
- In file included from lib/eigen_tensor.cpp:8:
- In file included from lib/unsupported/Eigen/CXX11/Tensor:30:
- In file included from lib/unsupported/Eigen/CXX11/../SpecialFunctions:46:
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:930:31: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 930 | const Scalar maxnum = NumTraits<Scalar>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1521:47: note: in instantiation of member function 'Eigen::internal::zeta_impl<float>::run' requested here
- 1521 | return EIGEN_MATHFUNC_IMPL(zeta, Scalar)::run(x, q);
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:22:37: note: in instantiation of function template specialization 'Eigen::numext::zeta<float>' requested here
- 22 | return Eigen::half(Eigen::numext::zeta(static_cast<float>(x), static_cast<float>(q)));
- | ^
- In file included from lib/eigen_tensor.cpp:8:
- In file included from lib/unsupported/Eigen/CXX11/Tensor:30:
- In file included from lib/unsupported/Eigen/CXX11/../SpecialFunctions:46:
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:571:24: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 571 | const Scalar inf = NumTraits<Scalar>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:735:43: note: in instantiation of member function 'Eigen::internal::igammac_impl<float>::Impl' requested here
- 735 | return (one - igammac_impl<Scalar>::Impl(a, x));
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1545:47: note: in instantiation of member function 'Eigen::internal::igamma_impl<float>::run' requested here
- 1545 | return EIGEN_MATHFUNC_IMPL(igamma, Scalar)::run(a, x);
- | ^
- lib/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:34:37: note: in instantiation of function template specialization 'Eigen::numext::igamma<float>' requested here
- 34 | return Eigen::half(Eigen::numext::igamma(static_cast<float>(a), static_cast<float>(x)));
- | ^
- In file included from lib/eigen_tensor.cpp:8:
- In file included from lib/unsupported/Eigen/CXX11/Tensor:87:
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:204:13: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 204 | return -Eigen::NumTraits<T>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:234:72: note: in instantiation of member function 'Eigen::internal::MinMaxBottomValue<float, true, false>::bottom_value' requested here
- 234 | return MinMaxBottomValue<T, true, Eigen::NumTraits<T>::IsInteger>::bottom_value();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:175:52: note: in instantiation of member function 'Eigen::internal::MaxReducer<float>::initialize' requested here
- 175 | typename Self::CoeffReturnType accum = reducer.initialize();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:224:60: note: in instantiation of member function 'Eigen::internal::InnerMostDimReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<float>, true>::reduce' requested here
- 224 | *output = InnerMostDimReducer<Self, Op, Vectorizable>::reduce(self, 0, num_coeffs, reducer);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:497:48: note: in instantiation of member function 'Eigen::internal::FullReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<float>, Eigen::DefaultDevice>::run' requested here
- 497 | internal::FullReducer<Self, Op, Device>::run(*this, reducer, m_device, data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:19: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:24: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:41: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:62: note: in instantiation of member function 'Eigen::internal::TensorExecutor<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>>>, Eigen::DefaultDevice>::run' requested here
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ^
- lib/eigen_tensor_s.cpp:135:10: note: in instantiation of function template specialization 'Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>::operator=<Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<float>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1>>>>>>' requested here
- 135 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- In file included from lib/eigen_tensor.cpp:8:
- In file included from lib/unsupported/Eigen/CXX11/Tensor:87:
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:204:13: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 204 | return -Eigen::NumTraits<T>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:234:72: note: in instantiation of member function 'Eigen::internal::MinMaxBottomValue<double, true, false>::bottom_value' requested here
- 234 | return MinMaxBottomValue<T, true, Eigen::NumTraits<T>::IsInteger>::bottom_value();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:175:52: note: in instantiation of member function 'Eigen::internal::MaxReducer<double>::initialize' requested here
- 175 | typename Self::CoeffReturnType accum = reducer.initialize();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:224:60: note: in instantiation of member function 'Eigen::internal::InnerMostDimReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<double>, true>::reduce' requested here
- 224 | *output = InnerMostDimReducer<Self, Op, Vectorizable>::reduce(self, 0, num_coeffs, reducer);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:497:48: note: in instantiation of member function 'Eigen::internal::FullReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<double>, Eigen::DefaultDevice>::run' requested here
- 497 | internal::FullReducer<Self, Op, Device>::run(*this, reducer, m_device, data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:19: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:24: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:41: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:62: note: in instantiation of member function 'Eigen::internal::TensorExecutor<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>, Eigen::DefaultDevice>::run' requested here
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ^
- lib/eigen_tensor_d.cpp:148:10: note: in instantiation of function template specialization 'Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>::operator=<Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>' requested here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- In file included from lib/eigen_tensor.cpp:7:
- In file included from lib/Eigen/Core:351:
- lib/Eigen/src/Core/NumTraits.h:141:12: warning: use of infinity is undefined behavior due to the currently enabled floating-point options [-Wnan-infinity-disabled]
- 141 | return numext::numeric_limits<T>::infinity();
- | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:204:34: note: in instantiation of member function 'Eigen::GenericNumTraits<double>::infinity' requested here
- 204 | return -Eigen::NumTraits<T>::infinity();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h:234:72: note: in instantiation of member function 'Eigen::internal::MinMaxBottomValue<double, true, false>::bottom_value' requested here
- 234 | return MinMaxBottomValue<T, true, Eigen::NumTraits<T>::IsInteger>::bottom_value();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:175:52: note: in instantiation of member function 'Eigen::internal::MaxReducer<double>::initialize' requested here
- 175 | typename Self::CoeffReturnType accum = reducer.initialize();
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:224:60: note: in instantiation of member function 'Eigen::internal::InnerMostDimReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<double>, true>::reduce' requested here
- 224 | *output = InnerMostDimReducer<Self, Op, Vectorizable>::reduce(self, 0, num_coeffs, reducer);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:497:48: note: in instantiation of member function 'Eigen::internal::FullReducer<Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>, Eigen::internal::MaxReducer<double>, Eigen::DefaultDevice>::run' requested here
- 497 | internal::FullReducer<Self, Op, Device>::run(*this, reducer, m_device, data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:19: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_impl.evalSubExprsIfNeeded(data);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:24: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:41: note: in instantiation of member function 'Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>, Eigen::DefaultDevice>::evalSubExprsIfNeeded' requested here
- 57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
- | ^
- lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:62: note: in instantiation of member function 'Eigen::internal::TensorExecutor<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>, Eigen::DefaultDevice>::run' requested here
- 310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
- | ^
- lib/eigen_tensor_d.cpp:148:10: note: in instantiation of function template specialization 'Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>::operator=<Eigen::TensorReshapingOp<const Eigen::DSizes<long, 4>, const Eigen::TensorReductionOp<Eigen::internal::MaxReducer<double>, const std::array<int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 4, 1>>>>>>' requested here
- 148 | output = SpatialMaxPooling(input, kernel_rows, kernel_cols, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
- | ^
- 8 warnings generated.
-> compiled eigen.0.3.3
-> installed eigen.0.3.3
Done.
2024-12-16 23:33.05 ---> saved as "4e13fe31363f09f6860c656e31a5adb068b6e9c372ce7df0dd16c61df7f7fdfc"
Job succeeded
Home|Differences with the last checks|Previous runs