******************************************************************************** conan install tensorflow-lite/2.6.2@#50f877ed81babc2554c72155e45b99a9 --build=tensorflow-lite -pr /home/conan/w/prod/BuildSingleReference/79813/7496bc12-6c36-4fc2-abeb-de087e8912ff/profile_linux_8_libstdcpp11_gcc_release_64.tensorflow-lite-shared-True.txt -c tools.system.package_manager:mode=install -c tools.system.package_manager:sudo=True ******************************************************************************** Auto detecting your dev setup to initialize the default profile (/home/conan/w/prod/BuildSingleReference/.conan/profiles/default) CC and CXX: /usr/bin/gcc, /usr/bin/g++ Found gcc 8 gcc>=5, using the major as version ************************* WARNING: GCC OLD ABI COMPATIBILITY *********************** Conan detected a GCC version > 5 but has adjusted the 'compiler.libcxx' setting to 'libstdc++' for backwards compatibility. Your compiler is likely using the new CXX11 ABI by default (libstdc++11). If you want Conan to use the new ABI for the default profile, run: $ conan profile update settings.compiler.libcxx=libstdc++11 default Or edit '/home/conan/w/prod/BuildSingleReference/.conan/profiles/default' and set compiler.libcxx=libstdc++11 ************************************************************************************ Default settings os=Linux os_build=Linux arch=x86_64 arch_build=x86_64 compiler=gcc compiler.version=8 compiler.libcxx=libstdc++ build_type=Release *** You can change them in /home/conan/w/prod/BuildSingleReference/.conan/profiles/default *** *** Or override with -s compiler='other' -s ...s*** Configuration: [settings] arch=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++11 compiler.version=8 os=Linux [options] tensorflow-lite:shared=True [build_requires] [env] [conf] tools.system.package_manager:mode=install tools.system.package_manager:sudo=True abseil/20211102.0: Not found in local cache, looking in remotes... abseil/20211102.0: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz abseil/20211102.0: Downloaded recipe revision 3fb08406ae2ab864b813aec0ccb71658 eigen/3.4.0: Not found in local cache, looking in remotes... eigen/3.4.0: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz eigen/3.4.0: Downloaded recipe revision be86633cce3679fe1843b78edf345c5b farmhash/cci.20190513: Not found in local cache, looking in remotes... farmhash/cci.20190513: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz farmhash/cci.20190513: Downloaded recipe revision bc80b4d0b93a7af0d0d811b4132dccdf fft/cci.20061228: Not found in local cache, looking in remotes... fft/cci.20061228: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fft/cci.20061228: Downloaded recipe revision 34b24b4522fc7dff3272bef317a538e8 flatbuffers/2.0.5: Not found in local cache, looking in remotes... flatbuffers/2.0.5: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz flatbuffers/2.0.5: Downloaded recipe revision c6a9508bd476da080f7aecbe7a094b68 gemmlowp/cci.20210928: Not found in local cache, looking in remotes... gemmlowp/cci.20210928: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz gemmlowp/cci.20210928: Downloaded recipe revision c9223baa8ed69ceb3a27823f271fb502 intel-neon2sse/cci.20210225: Not found in local cache, looking in remotes... intel-neon2sse/cci.20210225: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz intel-neon2sse/cci.20210225: Downloaded recipe revision 5fcd2a631ed1455b44ca46c79509cac1 ruy/cci.20220628: Not found in local cache, looking in remotes... ruy/cci.20220628: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz ruy/cci.20220628: Downloaded recipe revision df4f9a5474eff7e5c54508c2d9b1a673 cpuinfo/cci.20201217: Not found in local cache, looking in remotes... cpuinfo/cci.20201217: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz cpuinfo/cci.20201217: Downloaded recipe revision 767c5dbb0fca29606e1765e62169b298 xnnpack/cci.20220621: Not found in local cache, looking in remotes... xnnpack/cci.20220621: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz xnnpack/cci.20220621: Downloaded recipe revision b35b9f80532c02586c6ff762754ca152 fp16/cci.20210320: Not found in local cache, looking in remotes... fp16/cci.20210320: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fp16/cci.20210320: Downloaded recipe revision 30c9d4b42f4a5892d2da1f9e0be1f2b7 psimd/cci.20200517: Not found in local cache, looking in remotes... psimd/cci.20200517: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz psimd/cci.20200517: Downloaded recipe revision 768f395d1f18f475d582611a08308e74 pthreadpool/cci.20210218: Not found in local cache, looking in remotes... pthreadpool/cci.20210218: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz pthreadpool/cci.20210218: Downloaded recipe revision b023d236f6fa662ffc59a7f73e1cec04 fxdiv/cci.20200417: Not found in local cache, looking in remotes... fxdiv/cci.20200417: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fxdiv/cci.20200417: Downloaded recipe revision 7f6d53ea369c82ec4fa3bbc012e3a726 tensorflow-lite/2.6.2: Forced build from source cmake/3.24.0: Not found in local cache, looking in remotes... cmake/3.24.0: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz cmake/3.24.0: Downloaded recipe revision a4e1980c3f92cc72118f3239cec6a372 openssl/1.1.1q: Not found in local cache, looking in remotes... openssl/1.1.1q: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz openssl/1.1.1q: Downloaded recipe revision 17a663b4dae12e87f99e8aa16e8c9793 Installing package: tensorflow-lite/2.6.2 Requirements abseil/20211102.0 from 'conan-center' - Downloaded cpuinfo/cci.20201217 from 'conan-center' - Downloaded eigen/3.4.0 from 'conan-center' - Downloaded farmhash/cci.20190513 from 'conan-center' - Downloaded fft/cci.20061228 from 'conan-center' - Downloaded flatbuffers/2.0.5 from 'conan-center' - Downloaded fp16/cci.20210320 from 'conan-center' - Downloaded fxdiv/cci.20200417 from 'conan-center' - Downloaded gemmlowp/cci.20210928 from 'conan-center' - Downloaded intel-neon2sse/cci.20210225 from 'conan-center' - Downloaded psimd/cci.20200517 from 'conan-center' - Downloaded pthreadpool/cci.20210218 from 'conan-center' - Downloaded ruy/cci.20220628 from 'conan-center' - Downloaded tensorflow-lite/2.6.2 from local cache - Cache xnnpack/cci.20220621 from 'conan-center' - Downloaded Packages abseil/20211102.0:56e0cf6d16ee57367a0661ab743f4e43b29223f8 - Download cpuinfo/cci.20201217:8769cbc72a516c0b44cf93bc880d3d8281c0107a - Download eigen/3.4.0:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download farmhash/cci.20190513:56e0cf6d16ee57367a0661ab743f4e43b29223f8 - Download fft/cci.20061228:1d877a3df840030e6a8abb74c5ffb9088d08b47a - Download flatbuffers/2.0.5:56e0cf6d16ee57367a0661ab743f4e43b29223f8 - Download fp16/cci.20210320:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download fxdiv/cci.20200417:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download gemmlowp/cci.20210928:56e0cf6d16ee57367a0661ab743f4e43b29223f8 - Download intel-neon2sse/cci.20210225:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download psimd/cci.20200517:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download pthreadpool/cci.20210218:2847705e60383b738d7857213247ce634ad6297f - Download ruy/cci.20220628:b3d5a8d448876cd954928ebe15076c3442716180 - Download tensorflow-lite/2.6.2:c34ccc22e00a4e737efdc2f574e3893148b1e894 - Build xnnpack/cci.20220621:ab10b9a9be1e4fc653c99b037deb0c0186a4c62f - Download Build requirements cmake/3.24.0 from 'conan-center' - Downloaded openssl/1.1.1q from 'conan-center' - Downloaded Build requirements packages cmake/3.24.0:5c09c752508b674ca5cb1f2d327b5a2d582866c8 - Download openssl/1.1.1q:1d877a3df840030e6a8abb74c5ffb9088d08b47a - Download Installing (downloading, building) binaries... abseil/20211102.0: Retrieving package 56e0cf6d16ee57367a0661ab743f4e43b29223f8 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz abseil/20211102.0: Package installed 56e0cf6d16ee57367a0661ab743f4e43b29223f8 abseil/20211102.0: Downloaded package revision 604ac3bb61e2c3f6dfa80d52f5ac1159 cpuinfo/cci.20201217: Retrieving package 8769cbc72a516c0b44cf93bc880d3d8281c0107a from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz cpuinfo/cci.20201217: Package installed 8769cbc72a516c0b44cf93bc880d3d8281c0107a cpuinfo/cci.20201217: Downloaded package revision d9a82b0b7ec9af4c68ac2c830286f17c eigen/3.4.0: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz eigen/3.4.0: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 eigen/3.4.0: Downloaded package revision b36aa853652e020ba6913d06bc38f076 farmhash/cci.20190513: Retrieving package 56e0cf6d16ee57367a0661ab743f4e43b29223f8 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz farmhash/cci.20190513: Package installed 56e0cf6d16ee57367a0661ab743f4e43b29223f8 farmhash/cci.20190513: Downloaded package revision 13cd342bf276b8706fc169e9d61a0929 fft/cci.20061228: Retrieving package 1d877a3df840030e6a8abb74c5ffb9088d08b47a from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fft/cci.20061228: Package installed 1d877a3df840030e6a8abb74c5ffb9088d08b47a fft/cci.20061228: Downloaded package revision 7dafbe3fd18cfddb608c9cd8e0166e47 flatbuffers/2.0.5: Retrieving package 56e0cf6d16ee57367a0661ab743f4e43b29223f8 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz flatbuffers/2.0.5: Package installed 56e0cf6d16ee57367a0661ab743f4e43b29223f8 flatbuffers/2.0.5: Downloaded package revision dd1dd8bcab9fe2c949818c21f7dec674 fxdiv/cci.20200417: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fxdiv/cci.20200417: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 fxdiv/cci.20200417: Downloaded package revision 8dd59e839b77a98a8a1cbc4b28afad8a gemmlowp/cci.20210928: Retrieving package 56e0cf6d16ee57367a0661ab743f4e43b29223f8 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz gemmlowp/cci.20210928: Package installed 56e0cf6d16ee57367a0661ab743f4e43b29223f8 gemmlowp/cci.20210928: Downloaded package revision f233bba36aede9dddd969558cb1e4862 intel-neon2sse/cci.20210225: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz intel-neon2sse/cci.20210225: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 intel-neon2sse/cci.20210225: Downloaded package revision da65d8505ad1a336e832dd7b63e8476d openssl/1.1.1q: Retrieving package 1d877a3df840030e6a8abb74c5ffb9088d08b47a from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz openssl/1.1.1q: Package installed 1d877a3df840030e6a8abb74c5ffb9088d08b47a openssl/1.1.1q: Downloaded package revision c71144235ba79d37a2ffe9c5a366eff1 psimd/cci.20200517: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz psimd/cci.20200517: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 psimd/cci.20200517: Downloaded package revision 24bf8350fbb5842248646a17d2e8ff6d cmake/3.24.0: Retrieving package 5c09c752508b674ca5cb1f2d327b5a2d582866c8 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz cmake/3.24.0: Package installed 5c09c752508b674ca5cb1f2d327b5a2d582866c8 cmake/3.24.0: Downloaded package revision 52dcbaedb1851d8995758fe49349e52d fp16/cci.20210320: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fp16/cci.20210320: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 fp16/cci.20210320: Downloaded package revision 531c1bc9814f7c59015df275790906c2 pthreadpool/cci.20210218: Retrieving package 2847705e60383b738d7857213247ce634ad6297f from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz pthreadpool/cci.20210218: Package installed 2847705e60383b738d7857213247ce634ad6297f pthreadpool/cci.20210218: Downloaded package revision 0661cc06cc7add98ecf599bc93961241 ruy/cci.20220628: Retrieving package b3d5a8d448876cd954928ebe15076c3442716180 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz ruy/cci.20220628: Package installed b3d5a8d448876cd954928ebe15076c3442716180 ruy/cci.20220628: Downloaded package revision 4672e3f9b8bae3a53ba794f4a6d5476e xnnpack/cci.20220621: Retrieving package ab10b9a9be1e4fc653c99b037deb0c0186a4c62f from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz xnnpack/cci.20220621: Package installed ab10b9a9be1e4fc653c99b037deb0c0186a4c62f xnnpack/cci.20220621: Downloaded package revision ff52dfd5716f18369e30cfd1b5ff50fa flatbuffers/2.0.5: Appending PATH environment variable: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/bin cmake/3.24.0: Appending PATH environment variable: /home/conan/w/prod/BuildSingleReference/.conan/data/cmake/3.24.0/_/_/package/5c09c752508b674ca5cb1f2d327b5a2d582866c8/bin tensorflow-lite/2.6.2: Applying build-requirement: cmake/3.24.0 tensorflow-lite/2.6.2: Applying build-requirement: openssl/1.1.1q [HOOK - conan-center.py] pre_source(): [IMMUTABLE SOURCES (KB-H010)] OK tensorflow-lite/2.6.2: Configuring sources in /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/source tensorflow-lite/2.6.2: [HOOK - conan-center.py] post_source(): [LIBCXX MANAGEMENT (KB-H011)] OK [HOOK - conan-center.py] post_source(): [CPPSTD MANAGEMENT (KB-H022)] OK [HOOK - conan-center.py] post_source(): [SHORT_PATHS USAGE (KB-H066)] OK tensorflow-lite/2.6.2: Copying sources to build folder tensorflow-lite/2.6.2: Building your package in /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894 tensorflow-lite/2.6.2: Generator cmake_find_package created Findcmake.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findabsl.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created FindEigen3.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findfarmhash.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findfft.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created FindFlatBuffers.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findgemmlowp.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created FindNEON_2_SSE.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findruy.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findxnnpack.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created FindOpenSSL.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findcpuinfo.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findfp16.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findpthreadpool.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findpsimd.cmake tensorflow-lite/2.6.2: Generator cmake_find_package created Findfxdiv.cmake tensorflow-lite/2.6.2: Generator cmake created conanbuildinfo.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cmake-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cmake-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cmakeTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cmakeTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created absl-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created abslTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created abslTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created absl-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created Eigen3ConfigVersion.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created Eigen3Target-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created Eigen3Targets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created Eigen3Config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created farmhash-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created farmhash-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created farmhashTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created farmhashTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fft-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fft-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fftTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fftTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created FlatbuffersConfigVersion.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created FlatbuffersTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created FlatbuffersTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created FlatbuffersConfig.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created gemmlowp-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created gemmlowpTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created gemmlowpTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created gemmlowp-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created NEON_2_SSEConfigVersion.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created NEON_2_SSEConfig.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created NEON_2_SSETargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created NEON_2_SSETarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created ruy-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created ruy-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created ruyTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created ruyTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created xnnpack-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created xnnpack-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created xnnpackTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created xnnpackTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created OpenSSLConfigVersion.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created OpenSSLTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created OpenSSLTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created OpenSSLConfig.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cpuinfo-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cpuinfo-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cpuinfoTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created cpuinfoTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fp16-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fp16-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fp16Targets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fp16Target-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created pthreadpool-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created pthreadpool-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created pthreadpoolTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created pthreadpoolTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created psimd-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created psimd-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created psimdTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created psimdTarget-release.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fxdiv-config-version.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fxdiv-config.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fxdivTargets.cmake tensorflow-lite/2.6.2: Generator cmake_find_package_multi created fxdivTarget-release.cmake tensorflow-lite/2.6.2: Aggregating env generators [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] 'fPIC' option not found [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK tensorflow-lite/2.6.2: Calling build() tensorflow-lite/2.6.2: Apply patch (conan): Dependency compatibility: Patch CMakeLists.txt, updating package names, target names, etc ----Running------ > cd '/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/build' && cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE="Release" -DCONAN_IN_LOCAL_CACHE="ON" -DCONAN_COMPILER="gcc" -DCONAN_COMPILER_VERSION="8" -DCONAN_CXX_FLAGS="-m64" -DCONAN_SHARED_LINKER_FLAGS="-m64" -DCONAN_C_FLAGS="-m64" -DCONAN_LIBCXX="libstdc++11" -DBUILD_SHARED_LIBS="ON" -DCMAKE_INSTALL_PREFIX="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/package/c34ccc22e00a4e737efdc2f574e3893148b1e894" -DCMAKE_INSTALL_BINDIR="bin" -DCMAKE_INSTALL_SBINDIR="bin" -DCMAKE_INSTALL_LIBEXECDIR="bin" -DCMAKE_INSTALL_LIBDIR="lib" -DCMAKE_INSTALL_INCLUDEDIR="include" -DCMAKE_INSTALL_OLDINCLUDEDIR="include" -DCMAKE_INSTALL_DATAROOTDIR="share" -DCMAKE_MODULE_PATH="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894" -DCMAKE_PREFIX_PATH="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894" -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY="ON" -DCONAN_EXPORTED="1" -DCMAKE_WINDOWS_EXPORT_ALL_SYMBOLS="True" -DTFLITE_ENABLE_RUY="False" -DTFLITE_ENABLE_NNAPI="False" -DTFLITE_ENABLE_GPU="False" -DTFLITE_ENABLE_XNNPACK="True" -DTFLITE_ENABLE_MMAP="True" -Wno-dev '/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894' ----------------- -- The C compiler identification is GNU 8.4.0 -- The CXX compiler identification is GNU 8.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Conan: called by CMake conan helper -- Conan: called inside local cache -- Conan: Adjusting output directories -- Conan: Using cmake global configuration -- Conan: Adjusting language standard -- Conan: Compiler GCC>=5, checking major version 8 -- Conan: Checking correct version: 8 -- Conan: C++ stdlib: libstdc++11 -- Conan: Using autogenerated Findabsl.cmake -- Found absl: 20211102.0 (found version "20211102.0") -- Library absl_scoped_set_env found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_scoped_set_env.a -- Library absl_strerror found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strerror.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strerror.a -- Library absl_failure_signal_handler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_failure_signal_handler.a -- Library absl_examine_stack found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_examine_stack.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_examine_stack.a -- Library absl_leak_check_disable found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check_disable.a -- Library absl_leak_check found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check.a -- Library absl_flags_parse found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_parse.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_parse.a -- Library absl_flags_usage found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage.a -- Library absl_flags_usage_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage_internal.a -- Library absl_flags found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags.a -- Library absl_flags_reflection found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_reflection.a -- Library absl_raw_hash_set found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_hash_set.a -- Library absl_hashtablez_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hashtablez_sampler.a -- Library absl_flags_private_handle_accessor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_private_handle_accessor.a -- Library absl_flags_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_internal.a -- Library absl_flags_config found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_config.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_config.a -- Library absl_flags_program_name found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_program_name.a -- Library absl_flags_marshalling found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_marshalling.a -- Library absl_flags_commandlineflag found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hash.a -- Library absl_city found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_city.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_city.a -- Library absl_low_level_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_low_level_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_low_level_hash.a -- Library absl_periodic_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_periodic_sampler.a -- Library absl_random_distributions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_distributions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_distributions.a -- Library absl_random_seed_sequences found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_sequences.a -- Library absl_random_internal_pool_urbg found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_gen_exception found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_seed_material found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_seed_material.a -- Library absl_random_internal_randen found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_randen_slow found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_platform found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_statusor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_statusor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_statusor.a -- Library absl_status found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_status.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_status.a -- Library absl_str_format_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_str_format_internal.a -- Library absl_cordz_sample_token found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_sample_token.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_sample_token.a -- Library absl_cord found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord.a -- Library absl_cordz_info found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_info.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_info.a -- Library absl_cord_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord_internal.a -- Library absl_cordz_functions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_functions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_functions.a -- Library absl_exponential_biased found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_exponential_biased.a -- Library absl_cordz_handle found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_handle.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_handle.a -- Library absl_synchronization found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_synchronization.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_synchronization.a -- Library absl_stacktrace found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_stacktrace.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_stacktrace.a -- Library absl_symbolize found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_symbolize.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_symbolize.a -- Library absl_debugging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_debugging_internal.a -- Library absl_demangle_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_demangle_internal.a -- Library absl_graphcycles_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_graphcycles_internal.a -- Library absl_malloc_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_malloc_internal.a -- Library absl_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time.a -- Library absl_strings found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings.a -- Library absl_int128 found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_int128.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_int128.a -- Library absl_strings_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings_internal.a -- Library absl_base found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_base.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_base.a -- Library absl_spinlock_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_spinlock_wait.a -- Library absl_civil_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_civil_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_civil_time.a -- Library absl_time_zone found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time_zone.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time_zone.a -- Library absl_bad_any_cast_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_any_cast_impl.a -- Library absl_throw_delegate found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_throw_delegate.a -- Library absl_bad_optional_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_optional_access.a -- Library absl_bad_variant_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_variant_access.a -- Library absl_raw_logging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_logging_internal.a -- Library absl_log_severity found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_log_severity.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_log_severity.a -- Library absl_log_severity found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_log_severity.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_log_severity.a -- Library absl_raw_logging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_logging_internal.a -- Library absl_bad_variant_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_variant_access.a -- Library absl_bad_optional_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_optional_access.a -- Library absl_throw_delegate found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_throw_delegate.a -- Library absl_bad_any_cast_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_bad_any_cast_impl.a -- Library absl_time_zone found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time_zone.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time_zone.a -- Library absl_civil_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_civil_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_civil_time.a -- Library absl_spinlock_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_spinlock_wait.a -- Library absl_base found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_base.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_base.a -- Library absl_strings_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings_internal.a -- Library absl_int128 found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_int128.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_int128.a -- Library absl_strings found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strings.a -- Library absl_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_time.a -- Library absl_malloc_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_malloc_internal.a -- Library absl_graphcycles_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_graphcycles_internal.a -- Library absl_demangle_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_demangle_internal.a -- Library absl_debugging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_debugging_internal.a -- Library absl_symbolize found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_symbolize.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_symbolize.a -- Library absl_stacktrace found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_stacktrace.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_stacktrace.a -- Library absl_synchronization found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_synchronization.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_synchronization.a -- Library absl_cordz_handle found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_handle.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_handle.a -- Library absl_exponential_biased found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_exponential_biased.a -- Library absl_cordz_functions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_functions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_functions.a -- Library absl_cord_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord_internal.a -- Library absl_cordz_info found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_info.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_info.a -- Library absl_cord found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cord.a -- Library absl_cordz_sample_token found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_sample_token.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_cordz_sample_token.a -- Library absl_str_format_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_str_format_internal.a -- Library absl_status found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_status.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_status.a -- Library absl_statusor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_statusor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_statusor.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_random_internal_platform found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_slow found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_seed_material found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_seed_material.a -- Library absl_random_seed_gen_exception found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_pool_urbg found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_sequences found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_seed_sequences.a -- Library absl_random_distributions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_distributions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_random_distributions.a -- Library absl_periodic_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_periodic_sampler.a -- Library absl_low_level_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_low_level_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_low_level_hash.a -- Library absl_city found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_city.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_city.a -- Library absl_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hash.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_flags_commandlineflag found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_marshalling found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_marshalling.a -- Library absl_flags_program_name found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_program_name.a -- Library absl_flags_config found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_config.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_config.a -- Library absl_flags_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_internal.a -- Library absl_flags_private_handle_accessor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_private_handle_accessor.a -- Library absl_hashtablez_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_hashtablez_sampler.a -- Library absl_raw_hash_set found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_raw_hash_set.a -- Library absl_flags_reflection found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_reflection.a -- Library absl_flags found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags.a -- Library absl_flags_usage_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage_internal.a -- Library absl_flags_usage found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_usage.a -- Library absl_flags_parse found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_parse.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_flags_parse.a -- Library absl_leak_check found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check.a -- Library absl_leak_check_disable found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_leak_check_disable.a -- Library absl_examine_stack found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_examine_stack.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_examine_stack.a -- Library absl_failure_signal_handler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_failure_signal_handler.a -- Library absl_strerror found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strerror.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_strerror.a -- Library absl_scoped_set_env found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libabsl_scoped_set_env.a -- Conan: Using autogenerated FindEigen3.cmake -- Found Eigen3: 3.4.0 (found version "3.4.0") -- Conan: Using autogenerated Findfarmhash.cmake -- Found farmhash: cci.20190513 (found version "cci.20190513") -- Library farmhash found /home/conan/w/prod/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libfarmhash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libfarmhash.a -- Conan: Using autogenerated Findfft.cmake -- Found fft: cci.20061228 (found version "cci.20061228") -- Library fft found /home/conan/w/prod/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/1d877a3df840030e6a8abb74c5ffb9088d08b47a/lib/libfft.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/1d877a3df840030e6a8abb74c5ffb9088d08b47a/lib/libfft.a -- Library flatbuffers found /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libflatbuffers.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libflatbuffers.a -- Library flatbuffers found /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libflatbuffers.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libflatbuffers.a -- Conan: Using autogenerated Findgemmlowp.cmake -- Found gemmlowp: cci.20210928 (found version "cci.20210928") -- Library eight_bit_int_gemm found /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libeight_bit_int_gemm.a -- Library eight_bit_int_gemm found /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/56e0cf6d16ee57367a0661ab743f4e43b29223f8/lib/libeight_bit_int_gemm.a -- Conan: Using autogenerated Findruy.cmake -- Found ruy: cci.20220628 (found version "cci.20220628") -- Library ruy_frontend found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_frontend.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_frontend.a -- Library ruy_context found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_context.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_context.a -- Library ruy_trmul found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_trmul.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_trmul.a -- Library ruy_thread_pool found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_thread_pool.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_thread_pool.a -- Library ruy_blocking_counter found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_blocking_counter.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_blocking_counter.a -- Library ruy_prepare_packed_matrices found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_prepare_packed_matrices.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_prepare_packed_matrices.a -- Library ruy_ctx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_ctx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_ctx.a -- Library ruy_allocator found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_allocator.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_allocator.a -- Library ruy_prepacked_cache found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_prepacked_cache.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_prepacked_cache.a -- Library ruy_tune found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_tune.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_tune.a -- Library ruy_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_wait.a -- Library ruy_apply_multiplier found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_apply_multiplier.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_apply_multiplier.a -- Library ruy_block_map found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_block_map.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_block_map.a -- Library ruy_context_get_ctx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_context_get_ctx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_context_get_ctx.a -- Library ruy_cpuinfo found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_cpuinfo.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_cpuinfo.a -- Library ruy_denormal found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_denormal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_denormal.a -- Library ruy_have_built_path_for_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx.a -- Library ruy_have_built_path_for_avx2_fma found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx2_fma.a -- Library ruy_have_built_path_for_avx512 found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_have_built_path_for_avx512.a -- Library ruy_kernel_arm found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_arm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_arm.a -- Library ruy_kernel_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx.a -- Library ruy_kernel_avx2_fma found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx2_fma.a -- Library ruy_kernel_avx512 found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_kernel_avx512.a -- Library ruy_pack_arm found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_arm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_arm.a -- Library ruy_pack_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx.a -- Library ruy_pack_avx2_fma found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx2_fma.a -- Library ruy_pack_avx512 found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_pack_avx512.a -- Library ruy_system_aligned_alloc found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_system_aligned_alloc.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_system_aligned_alloc.a -- Library ruy_profiler_instrumentation found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_profiler_instrumentation.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_profiler_instrumentation.a -- Library ruy_profiler_profiler found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_profiler_profiler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20220628/_/_/package/b3d5a8d448876cd954928ebe15076c3442716180/lib/libruy_profiler_profiler.a -- Conan: Using autogenerated Findcpuinfo.cmake -- Found cpuinfo: cci.20201217 (found version "cci.20201217") -- Library cpuinfo found /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8769cbc72a516c0b44cf93bc880d3d8281c0107a/lib/libcpuinfo.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8769cbc72a516c0b44cf93bc880d3d8281c0107a/lib/libcpuinfo.a -- Library clog found /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8769cbc72a516c0b44cf93bc880d3d8281c0107a/lib/libclog.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8769cbc72a516c0b44cf93bc880d3d8281c0107a/lib/libclog.a -- Conan: Using autogenerated FindNEON_2_SSE.cmake -- Found NEON_2_SSE: cci.20210225 (found version "cci.20210225") -- Conan: Using autogenerated Findxnnpack.cmake -- Found xnnpack: cci.20220621 (found version "cci.20220621") -- Library XNNPACK found /home/conan/w/prod/BuildSingleReference/.conan/data/xnnpack/cci.20220621/_/_/package/ab10b9a9be1e4fc653c99b037deb0c0186a4c62f/lib/libXNNPACK.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/xnnpack/cci.20220621/_/_/package/ab10b9a9be1e4fc653c99b037deb0c0186a4c62f/lib/libXNNPACK.a -- Dependency cpuinfo already found -- Conan: Using autogenerated Findfp16.cmake -- Found fp16: cci.20210320 (found version "cci.20210320") -- Conan: Using autogenerated Findpsimd.cmake -- Found psimd: cci.20200517 (found version "cci.20200517") -- Conan: Using autogenerated Findpthreadpool.cmake -- Found pthreadpool: cci.20210218 (found version "cci.20210218") -- Library pthreadpool found /home/conan/w/prod/BuildSingleReference/.conan/data/pthreadpool/cci.20210218/_/_/package/2847705e60383b738d7857213247ce634ad6297f/lib/libpthreadpool.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/pthreadpool/cci.20210218/_/_/package/2847705e60383b738d7857213247ce634ad6297f/lib/libpthreadpool.a -- Conan: Using autogenerated Findfxdiv.cmake -- Found fxdiv: cci.20200417 (found version "cci.20200417") -- Configuring done -- Generating done -- Build files have been written to: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/build ----Running------ > cmake --build '/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/build' '--' '-j3' ----------------- [ 1%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/error_reporter.cc.o [ 1%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/flatbuffer_conversions.cc.o [ 2%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/op_resolver.cc.o [ 2%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/tensor_utils.cc.o [ 3%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o [ 3%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api.cc.o [ 4%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api_experimental.cc.o [ 4%] Building C object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/common.c.o [ 6%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/nnapi/nnapi_delegate_disabled.cc.o [ 6%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o [ 7%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/serialization.cc.o [ 7%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/telemetry.cc.o [ 7%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o [ 8%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/quantization_util.cc.o [ 8%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o [ 9%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/experimental/resource/resource_variable.cc.o [ 9%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/experimental/resource/static_hashtable.cc.o [ 10%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/cpu_check.cc.o [ 10%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/neon_tensor_utils.cc.o [ 12%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/sse_tensor_utils.cc.o [ 12%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/reference/portable_tensor_utils.cc.o [ 13%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/kernel_utils.cc.o [ 13%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc.cc.o [ 14%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_dct.cc.o [ 14%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_mel_filterbank.cc.o [ 14%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/quantization_util.cc.o [ 15%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/spectrogram.cc.o [ 15%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/tensor_utils.cc.o [ 16%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/transpose_utils.cc.o [ 16%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/activations.cc.o [ 18%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/add.cc.o [ 18%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/add_n.cc.o [ 19%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/arg_min_max.cc.o [ 19%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o [ 20%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/atan2.cc.o [ 20%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/audio_spectrogram.cc.o [ 21%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/basic_rnn.cc.o [ 21%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o [ 21%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/batch_to_space_nd.cc.o [ 22%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o [ 22%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o [ 24%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/broadcast_to.cc.o [ 24%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/call_once.cc.o [ 25%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cast.cc.o [ 25%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/ceil.cc.o [ 26%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/comparisons.cc.o [ 26%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/complex_support.cc.o [ 27%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/concatenation.cc.o [ 27%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv.cc.o [ 28%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv3d.cc.o [ 28%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o [ 28%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o [ 30%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o [ 30%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cumsum.cc.o [ 31%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/densify.cc.o [ 31%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/deprecated_backends.cc.o [ 32%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o [ 32%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o [ 33%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o [ 33%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o [ 34%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/div.cc.o [ 34%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o [ 36%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o [ 36%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o [ 36%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o [ 37%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o [ 37%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o [ 38%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o [ 38%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o [ 39%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o [ 39%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor_div.cc.o [ 40%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o [ 40%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o [ 42%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o [ 42%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gather_nd.cc.o [ 42%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gru_cell.cc.o [ 43%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable.cc.o [ 43%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_find.cc.o [ 44%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_import.cc.o [ 44%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o [ 45%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o [ 45%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/if.cc.o [ 46%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/irfft2d.cc.o [ 46%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/kernel_util.cc.o [ 48%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/l2norm.cc.o [ 48%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/local_response_norm.cc.o [ 49%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/logical.cc.o [ 49%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lsh_projection.cc.o [ 49%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm.cc.o [ 50%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm_eval.cc.o [ 50%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/matrix_diag.cc.o [ 51%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o [ 51%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o [ 53%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o [ 53%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mirror_pad.cc.o [ 54%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mul.cc.o [ 54%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/multinomial.cc.o [ 55%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/neg.cc.o [ 55%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/non_max_suppression.cc.o [ 56%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/numeric_verify.cc.o [ 56%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/one_hot.cc.o [ 56%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/pack.cc.o [ 57%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/pad.cc.o [ 57%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/pooling.cc.o [ 59%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/pooling3d.cc.o [ 59%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/pow.cc.o [ 60%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/quantize.cc.o [ 60%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/random_standard_normal.cc.o [ 61%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/random_uniform.cc.o [ 61%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/range.cc.o [ 62%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/rank.cc.o [ 62%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/read_variable.cc.o [ 63%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/reduce.cc.o [ 63%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/register.cc.o [ 63%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/register_ref.cc.o [ 65%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/reshape.cc.o [ 65%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/resize_bilinear.cc.o [ 66%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/resize_nearest_neighbor.cc.o [ 66%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/reverse.cc.o [ 67%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/reverse_sequence.cc.o [ 67%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/rfft2d.cc.o [ 68%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/roll.cc.o [ 68%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o [ 69%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/scatter_nd.cc.o [ 69%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/segment_sum.cc.o [ 71%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/select.cc.o [ 71%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/shape.cc.o [ 71%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/sign.cc.o [ 72%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/skip_gram.cc.o [ 72%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/slice.cc.o [ 73%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/space_to_batch_nd.cc.o [ 73%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/space_to_depth.cc.o [ 74%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/sparse_to_dense.cc.o [ 74%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/split.cc.o [ 75%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/split_v.cc.o [ 75%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/squared_difference.cc.o [ 77%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/squeeze.cc.o [ 77%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/strided_slice.cc.o [ 78%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/sub.cc.o [ 78%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/svdf.cc.o [ 78%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/tile.cc.o [ 79%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/topk_v2.cc.o [ 79%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/transpose.cc.o [ 80%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/transpose_conv.cc.o [ 80%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_gru.cc.o [ 81%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_lstm.cc.o [ 81%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_rnn.cc.o [ 83%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o [ 83%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o [ 84%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o [ 84%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o [ 85%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o [ 85%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o [ 85%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o [ 86%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/allocation.cc.o [ 86%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o [ 87%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/create_op_resolver_with_builtin_ops.cc.o [ 87%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o [ 89%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/graph_info.cc.o [ 89%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/interpreter.cc.o [ 90%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/interpreter_builder.cc.o [ 90%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/interpreter_builder_experimental.cc.o [ 91%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/interpreter_experimental.cc.o [ 91%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/minimal_logging.cc.o [ 92%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o [ 92%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o [ 92%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/model_builder.cc.o [ 93%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/mutable_op_resolver.cc.o [ 93%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o [ 95%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o [ 95%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/stderr_reporter.cc.o [ 96%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/string_util.cc.o [ 96%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/tflite_with_xnnpack_optional.cc.o [ 97%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/util.cc.o [ 97%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o [ 98%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/schema/schema_utils.cc.o [ 98%] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/tools/optimize/sparsity/format_converter.cc.o [100%] Linking CXX shared library ../../../lib/libtensorflow-lite.so [100%] Built target tensorflow-lite tensorflow-lite/2.6.2: Package 'c34ccc22e00a4e737efdc2f574e3893148b1e894' built tensorflow-lite/2.6.2: Build folder /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894 tensorflow-lite/2.6.2: Generated conaninfo.txt tensorflow-lite/2.6.2: Generated conanbuildinfo.txt tensorflow-lite/2.6.2: Generating the package tensorflow-lite/2.6.2: Package folder /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/package/c34ccc22e00a4e737efdc2f574e3893148b1e894 tensorflow-lite/2.6.2: Calling package() [HOOK - conan-center.py] post_package(): [PACKAGE LICENSE (KB-H012)] OK [HOOK - conan-center.py] post_package(): [DEFAULT PACKAGE LAYOUT (KB-H013)] OK [HOOK - conan-center.py] post_package(): [MATCHING CONFIGURATION (KB-H014)] OK [HOOK - conan-center.py] post_package(): [SHARED ARTIFACTS (KB-H015)] OK [HOOK - conan-center.py] post_package(): [PC-FILES (KB-H020)] OK [HOOK - conan-center.py] post_package(): [CMAKE-MODULES-CONFIG-FILES (KB-H016)] OK [HOOK - conan-center.py] post_package(): [PDB FILES NOT ALLOWED (KB-H017)] OK [HOOK - conan-center.py] post_package(): [LIBTOOL FILES PRESENCE (KB-H018)] OK [HOOK - conan-center.py] post_package(): [MS RUNTIME FILES (KB-H021)] OK [HOOK - conan-center.py] post_package(): [SHORT_PATHS USAGE (KB-H066)] OK [HOOK - conan-center.py] post_package(): [MISSING SYSTEM LIBS (KB-H043)] OK tensorflow-lite/2.6.2 package(): Packaged 965 '.h' files tensorflow-lite/2.6.2 package(): Packaged 1 file: LICENSE tensorflow-lite/2.6.2 package(): Packaged 1 '.so' file: libtensorflow-lite.so tensorflow-lite/2.6.2 package(): Packaged 1 '.cmake' file: conan-official-tensorflow-lite-targets.cmake tensorflow-lite/2.6.2: Package 'c34ccc22e00a4e737efdc2f574e3893148b1e894' created tensorflow-lite/2.6.2: Created package revision f3fb576739bec5c6aabd2652484eae71 [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK [HOOK - conan-center.py] post_package_info(): [INCLUDE PATH DOES NOT EXIST (KB-H071)] OK Aggregating env generators CMake Warning: Manually-specified variables were not used by the project: CMAKE_EXPORT_NO_PACKAGE_REGISTRY CMAKE_INSTALL_BINDIR CMAKE_INSTALL_DATAROOTDIR CMAKE_INSTALL_INCLUDEDIR CMAKE_INSTALL_LIBDIR CMAKE_INSTALL_LIBEXECDIR CMAKE_INSTALL_OLDINCLUDEDIR CMAKE_INSTALL_SBINDIR In function ‘TfLiteStatus tflite::ops::builtin::broadcastto::Eval(TfLiteContext*, TfLiteNode*)’: cc1plus: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ reading 32 bytes from a region of size 24 [-Wstringop-overflow=] cc1plus: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ reading 32 bytes from a region of size 24 [-Wstringop-overflow=] In file included from /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43, from /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31, from /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/conv.cc:37: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:723:7: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalProductSequential(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::evalProductImpl(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Scalar*, DoneCallback) const [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Scalar = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:723:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/prod/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.2/_/_/build/c34ccc22e00a4e737efdc2f574e3893148b1e894/src/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~