******************************************************************************** conan install tensorflow-lite/2.6.0@#24c8e0302c2321149359277ab338f3e8 --build=tensorflow-lite -pr /home/conan/w/prod/BuildSingleReference/22707/8ec01712-57aa-4f66-a1fc-a494b686f23d/profile_linux_8_libstdcpp11_gcc_debug_64.tensorflow-lite-shared-False.txt ******************************************************************************** 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=Debug compiler=gcc compiler.libcxx=libstdc++11 compiler.version=8 os=Linux [options] tensorflow-lite:shared=False [build_requires] [env] 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 77baf5ec476289a6dc4e608c226cd231 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 4cd099340b8b46dcc92a7ccb9c142a4b 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 2c7206f22a753a1fcc6403894fed836f 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 b501fb7ff086c829577eb3e814b9463e 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.20210622: Not found in local cache, looking in remotes... ruy/cci.20210622: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz ruy/cci.20210622: Downloaded recipe revision ae5bff71b98aef3e318374ac9f3ff026 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.20211210: Not found in local cache, looking in remotes... xnnpack/cci.20211210: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz xnnpack/cci.20211210: Downloaded recipe revision 21cce9046c86324ef4257304664a1bbc 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/2.6.0: Forced build from source ninja/1.10.2: Not found in local cache, looking in remotes... ninja/1.10.2: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz ninja/1.10.2: Downloaded recipe revision 0ed34363d5683eb57a22bd2ccd7b62fc Installing package: tensorflow-lite/2.6.0 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.20210622 from 'conan-center' - Downloaded tensorflow-lite/2.6.0 from local cache - Cache xnnpack/cci.20211210 from 'conan-center' - Downloaded Packages abseil/20211102.0:038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec - Download cpuinfo/cci.20201217:7faa3debb6192c3eefd483d590e0615846542282 - Download eigen/3.4.0:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download farmhash/cci.20190513:038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec - Download fft/cci.20061228:761432f3453a17c960259b5b2605153e3bcffd7d - Download flatbuffers/2.0.5:038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec - Download fp16/cci.20210320:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download fxdiv/cci.20200417:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download gemmlowp/cci.20210928:038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec - Download intel-neon2sse/cci.20210225:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download psimd/cci.20200517:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download pthreadpool/cci.20210218:977368e12113636f051c8c9015db87be65e98926 - Download ruy/cci.20210622:56b8a384260d30f50d2c77763e4c071d8ef5a452 - Download tensorflow-lite/2.6.0:c50801edbb5ee939bab4dfe18832c5b5e00a85a3 - Build xnnpack/cci.20211210:2e5a4efa5f4feb95f8bbbea2a44ef4161b12182d - Download Build requirements ninja/1.10.2 from 'conan-center' - Downloaded Build requirements packages ninja/1.10.2:cc9f9b2b9f92fc82888026414560bf79d8c3a052 - Download Installing (downloading, building) binaries... abseil/20211102.0: Retrieving package 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz abseil/20211102.0: Package installed 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec abseil/20211102.0: Downloaded package revision 5de4df78b483ae7588def8015fd3ce8a cpuinfo/cci.20201217: Retrieving package 7faa3debb6192c3eefd483d590e0615846542282 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz cpuinfo/cci.20201217: Package installed 7faa3debb6192c3eefd483d590e0615846542282 cpuinfo/cci.20201217: Downloaded package revision d7fec700f03b12ec18fd9ef043576d5f 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 01558eaee392ff1f6de3fc2247b463f3 farmhash/cci.20190513: Retrieving package 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz farmhash/cci.20190513: Package installed 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec farmhash/cci.20190513: Downloaded package revision 3013bb56f0b985dd8c9f601b19f93bc8 fft/cci.20061228: Retrieving package 761432f3453a17c960259b5b2605153e3bcffd7d from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fft/cci.20061228: Package installed 761432f3453a17c960259b5b2605153e3bcffd7d fft/cci.20061228: Downloaded package revision 80415d3453b4628b4878000b56bc2c4f flatbuffers/2.0.5: Retrieving package 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz flatbuffers/2.0.5: Package installed 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec flatbuffers/2.0.5: Downloaded package revision 1dc4a300cc26207023c00820da32c879 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 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz gemmlowp/cci.20210928: Package installed 038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec gemmlowp/cci.20210928: Downloaded package revision b83824e5039d64ccd901ecc481a5ae3e 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 ninja/1.10.2: Retrieving package cc9f9b2b9f92fc82888026414560bf79d8c3a052 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz ninja/1.10.2: Package installed cc9f9b2b9f92fc82888026414560bf79d8c3a052 ninja/1.10.2: Downloaded package revision 51d3a2e9c7c39679afb994e35cd9d398 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 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 977368e12113636f051c8c9015db87be65e98926 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz pthreadpool/cci.20210218: Package installed 977368e12113636f051c8c9015db87be65e98926 pthreadpool/cci.20210218: Downloaded package revision 555b6f52ef9536d00ccc81595b347110 ruy/cci.20210622: Retrieving package 56b8a384260d30f50d2c77763e4c071d8ef5a452 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz ruy/cci.20210622: Package installed 56b8a384260d30f50d2c77763e4c071d8ef5a452 ruy/cci.20210622: Downloaded package revision 3bea250e92e1f76a2db7933136fb8902 xnnpack/cci.20211210: Retrieving package 2e5a4efa5f4feb95f8bbbea2a44ef4161b12182d from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz xnnpack/cci.20211210: Package installed 2e5a4efa5f4feb95f8bbbea2a44ef4161b12182d xnnpack/cci.20211210: Downloaded package revision fc5f868ee9b4b83dee831f9e1e7c1fcf flatbuffers/2.0.5: Appending PATH environment variable: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/bin tensorflow-lite/2.6.0: Applying build-requirement: ninja/1.10.2 [HOOK - conan-center.py] pre_source(): [IMMUTABLE SOURCES (KB-H010)] OK tensorflow-lite/2.6.0: Configuring sources in /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/source [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/2.6.0: Copying sources to build folder tensorflow-lite/2.6.0: Building your package in /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3 tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ninja-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ninja-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ninjaTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ninjaTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created absl-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created abslTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created abslTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created absl-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created Eigen3ConfigVersion.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created Eigen3Target-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created Eigen3Targets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created Eigen3Config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created farmhash-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created farmhash-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created farmhashTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created farmhashTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fft-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fft-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fftTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fftTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created FlatbuffersConfigVersion.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created FlatbuffersTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created FlatbuffersTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created FlatbuffersConfig.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created gemmlowp-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created gemmlowpTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created gemmlowpTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created gemmlowp-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created NEON_2_SSEConfigVersion.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created NEON_2_SSEConfig.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created NEON_2_SSETargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created NEON_2_SSETarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ruy-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ruy-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ruyTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created ruyTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created xnnpack-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created xnnpack-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created xnnpackTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created xnnpackTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created cpuinfo-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created cpuinfo-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created cpuinfoTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created cpuinfoTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fp16-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fp16-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fp16Targets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fp16Target-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created pthreadpool-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created pthreadpool-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created pthreadpoolTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created pthreadpoolTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created psimd-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created psimd-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created psimdTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created psimdTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fxdiv-config-version.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fxdiv-config.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fxdivTargets.cmake tensorflow-lite/2.6.0: Generator cmake_find_package_multi created fxdivTarget-debug.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findninja.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findabsl.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindEigen3.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfarmhash.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfft.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindFlatBuffers.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findgemmlowp.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindNEON_2_SSE.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findruy.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findxnnpack.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findcpuinfo.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfp16.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findpthreadpool.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findpsimd.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfxdiv.cmake tensorflow-lite/2.6.0: Generator cmake created conanbuildinfo.cmake tensorflow-lite/2.6.0: Aggregating env generators [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK. 'fPIC' option found and apparently well managed [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK tensorflow-lite/2.6.0: Calling build() ----Running------ > cd '/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3/build' && cmake -G "Ninja" -DCMAKE_BUILD_TYPE="Debug" -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="OFF" -DCMAKE_INSTALL_PREFIX="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/package/c50801edbb5ee939bab4dfe18832c5b5e00a85a3" -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" -DCONAN_CMAKE_POSITION_INDEPENDENT_CODE="ON" -DCMAKE_MODULE_PATH="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3" -DCMAKE_PREFIX_PATH="/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3" -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/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3' ----------------- -- 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: Adjusting fPIC flag (ON) -- 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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_scoped_set_env.a -- Library absl_strerror found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strerror.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strerror.a -- Library absl_failure_signal_handler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_failure_signal_handler.a -- Library absl_examine_stack found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_examine_stack.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_examine_stack.a -- Library absl_leak_check_disable found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check_disable.a -- Library absl_leak_check found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check.a -- Library absl_flags_parse found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_parse.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_parse.a -- Library absl_flags_usage found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage.a -- Library absl_flags_usage_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage_internal.a -- Library absl_flags found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags.a -- Library absl_flags_reflection found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_reflection.a -- Library absl_raw_hash_set found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_hash_set.a -- Library absl_hashtablez_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hashtablez_sampler.a -- Library absl_flags_private_handle_accessor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_private_handle_accessor.a -- Library absl_flags_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_internal.a -- Library absl_flags_config found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_config.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_config.a -- Library absl_flags_program_name found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_program_name.a -- Library absl_flags_marshalling found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_marshalling.a -- Library absl_flags_commandlineflag found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hash.a -- Library absl_city found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_city.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_city.a -- Library absl_low_level_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_low_level_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_low_level_hash.a -- Library absl_periodic_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_periodic_sampler.a -- Library absl_random_distributions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_distributions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_distributions.a -- Library absl_random_seed_sequences found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_sequences.a -- Library absl_random_internal_pool_urbg found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_seed_material.a -- Library absl_random_internal_randen found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_randen_slow found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_statusor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_statusor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_statusor.a -- Library absl_status found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_status.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_status.a -- Library absl_str_format_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_str_format_internal.a -- Library absl_cordz_sample_token found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_sample_token.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_sample_token.a -- Library absl_cord found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord.a -- Library absl_cordz_info found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_info.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_info.a -- Library absl_cord_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord_internal.a -- Library absl_cordz_functions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_functions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_functions.a -- Library absl_exponential_biased found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_exponential_biased.a -- Library absl_cordz_handle found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_handle.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_handle.a -- Library absl_synchronization found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_synchronization.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_synchronization.a -- Library absl_stacktrace found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_stacktrace.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_stacktrace.a -- Library absl_symbolize found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_symbolize.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_symbolize.a -- Library absl_debugging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_debugging_internal.a -- Library absl_demangle_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_demangle_internal.a -- Library absl_graphcycles_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_graphcycles_internal.a -- Library absl_malloc_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_malloc_internal.a -- Library absl_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time.a -- Library absl_strings found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings.a -- Library absl_int128 found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_int128.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_int128.a -- Library absl_strings_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings_internal.a -- Library absl_base found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_base.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_base.a -- Library absl_spinlock_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_spinlock_wait.a -- Library absl_civil_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_civil_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_civil_time.a -- Library absl_time_zone found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time_zone.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time_zone.a -- Library absl_bad_any_cast_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_any_cast_impl.a -- Library absl_throw_delegate found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_throw_delegate.a -- Library absl_bad_optional_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_optional_access.a -- Library absl_bad_variant_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_variant_access.a -- Library absl_raw_logging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_logging_internal.a -- Library absl_log_severity found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_log_severity.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_log_severity.a -- Library absl_log_severity found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_log_severity.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_log_severity.a -- Library absl_raw_logging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_logging_internal.a -- Library absl_bad_variant_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_variant_access.a -- Library absl_bad_optional_access found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_optional_access.a -- Library absl_throw_delegate found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_throw_delegate.a -- Library absl_bad_any_cast_impl found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_bad_any_cast_impl.a -- Library absl_time_zone found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time_zone.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time_zone.a -- Library absl_civil_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_civil_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_civil_time.a -- Library absl_spinlock_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_spinlock_wait.a -- Library absl_base found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_base.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_base.a -- Library absl_strings_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings_internal.a -- Library absl_int128 found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_int128.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_int128.a -- Library absl_strings found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strings.a -- Library absl_time found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_time.a -- Library absl_malloc_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_malloc_internal.a -- Library absl_graphcycles_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_graphcycles_internal.a -- Library absl_demangle_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_demangle_internal.a -- Library absl_debugging_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_debugging_internal.a -- Library absl_symbolize found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_symbolize.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_symbolize.a -- Library absl_stacktrace found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_stacktrace.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_stacktrace.a -- Library absl_synchronization found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_synchronization.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_synchronization.a -- Library absl_cordz_handle found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_handle.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_handle.a -- Library absl_exponential_biased found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_exponential_biased.a -- Library absl_cordz_functions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_functions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_functions.a -- Library absl_cord_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord_internal.a -- Library absl_cordz_info found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_info.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_info.a -- Library absl_cord found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cord.a -- Library absl_cordz_sample_token found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_sample_token.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_cordz_sample_token.a -- Library absl_str_format_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_str_format_internal.a -- Library absl_status found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_status.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_status.a -- Library absl_statusor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_statusor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_statusor.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_seed_material found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_sequences found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_seed_sequences.a -- Library absl_random_distributions found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_distributions.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_random_distributions.a -- Library absl_periodic_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_periodic_sampler.a -- Library absl_low_level_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_low_level_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_low_level_hash.a -- Library absl_city found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_city.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_city.a -- Library absl_hash found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hash.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_flags_commandlineflag found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_marshalling found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_marshalling.a -- Library absl_flags_program_name found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_program_name.a -- Library absl_flags_config found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_config.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_config.a -- Library absl_flags_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_internal.a -- Library absl_flags_private_handle_accessor found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_private_handle_accessor.a -- Library absl_hashtablez_sampler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_hashtablez_sampler.a -- Library absl_raw_hash_set found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_raw_hash_set.a -- Library absl_flags_reflection found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_reflection.a -- Library absl_flags found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags.a -- Library absl_flags_usage_internal found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage_internal.a -- Library absl_flags_usage found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_usage.a -- Library absl_flags_parse found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_parse.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_flags_parse.a -- Library absl_leak_check found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check.a -- Library absl_leak_check_disable found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_leak_check_disable.a -- Library absl_examine_stack found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_examine_stack.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_examine_stack.a -- Library absl_failure_signal_handler found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_failure_signal_handler.a -- Library absl_strerror found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strerror.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_strerror.a -- Library absl_scoped_set_env found /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/abseil/20211102.0/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libfarmhash.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/761432f3453a17c960259b5b2605153e3bcffd7d/lib/libfft.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/761432f3453a17c960259b5b2605153e3bcffd7d/lib/libfft.a -- Library flatbuffers found /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libflatbuffers.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libflatbuffers.a -- Library flatbuffers found /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libflatbuffers.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/flatbuffers/2.0.5/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/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/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libeight_bit_int_gemm.a -- Library eight_bit_int_gemm found /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/038f8796e196b3dba76fcc5fd4ef5d3d9c6866ec/lib/libeight_bit_int_gemm.a -- Conan: Using autogenerated Findruy.cmake -- Found ruy: cci.20210622 (found version "cci.20210622") -- Library ruy_frontend found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_frontend.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_frontend.a -- Library ruy_context found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_context.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_context.a -- Library ruy_trmul found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_trmul.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_trmul.a -- Library ruy_thread_pool found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_thread_pool.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_thread_pool.a -- Library ruy_blocking_counter found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_blocking_counter.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_blocking_counter.a -- Library ruy_prepare_packed_matrices found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_prepare_packed_matrices.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_prepare_packed_matrices.a -- Library ruy_ctx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_ctx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_ctx.a -- Library ruy_allocator found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_allocator.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_allocator.a -- Library ruy_prepacked_cache found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_prepacked_cache.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_prepacked_cache.a -- Library ruy_tune found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_tune.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_tune.a -- Library ruy_wait found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_wait.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_wait.a -- Library ruy_apply_multiplier found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_apply_multiplier.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_apply_multiplier.a -- Library ruy_block_map found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_block_map.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_block_map.a -- Library ruy_context_get_ctx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_context_get_ctx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_context_get_ctx.a -- Library ruy_cpuinfo found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_cpuinfo.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_cpuinfo.a -- Library ruy_denormal found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_denormal.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_denormal.a -- Library ruy_have_built_path_for_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_have_built_path_for_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/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.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_have_built_path_for_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/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.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_have_built_path_for_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_have_built_path_for_avx512.a -- Library ruy_kernel_arm found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_arm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_arm.a -- Library ruy_kernel_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx.a -- Library ruy_kernel_avx2_fma found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx2_fma.a -- Library ruy_kernel_avx512 found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_kernel_avx512.a -- Library ruy_pack_arm found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_arm.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_arm.a -- Library ruy_pack_avx found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx.a -- Library ruy_pack_avx2_fma found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx2_fma.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx2_fma.a -- Library ruy_pack_avx512 found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx512.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_pack_avx512.a -- Library ruy_system_aligned_alloc found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_system_aligned_alloc.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_system_aligned_alloc.a -- Library ruy_profiler_instrumentation found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_profiler_instrumentation.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_profiler_instrumentation.a -- Library ruy_profiler_profiler found /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/lib/libruy_profiler_profiler.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/56b8a384260d30f50d2c77763e4c071d8ef5a452/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/7faa3debb6192c3eefd483d590e0615846542282/lib/libcpuinfo.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/7faa3debb6192c3eefd483d590e0615846542282/lib/libcpuinfo.a -- Library clog found /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/7faa3debb6192c3eefd483d590e0615846542282/lib/libclog.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/7faa3debb6192c3eefd483d590e0615846542282/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.20211210 (found version "cci.20211210") -- Library XNNPACK found /home/conan/w/prod/BuildSingleReference/.conan/data/xnnpack/cci.20211210/_/_/package/2e5a4efa5f4feb95f8bbbea2a44ef4161b12182d/lib/libXNNPACK.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/xnnpack/cci.20211210/_/_/package/2e5a4efa5f4feb95f8bbbea2a44ef4161b12182d/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/977368e12113636f051c8c9015db87be65e98926/lib/libpthreadpool.a -- Found: /home/conan/w/prod/BuildSingleReference/.conan/data/pthreadpool/cci.20210218/_/_/package/977368e12113636f051c8c9015db87be65e98926/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/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3/build ----Running------ > cmake --build '/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3/build' '--' '-j3' ----------------- [1/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/tensor_utils.cc.o [2/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/op_resolver.cc.o [3/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/error_reporter.cc.o [4/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api.cc.o [5/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/flatbuffer_conversions.cc.o [6/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o [7/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api_experimental.cc.o [8/178] Building C object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/common.c.o [9/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/nnapi/nnapi_delegate_disabled.cc.o [10/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o [11/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/serialization.cc.o [12/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o [13/178] Building CXX object 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src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv.cc.o In file included from ../src/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43, from ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31, from ../src/tensorflow/lite/kernels/conv.cc:37: ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~ ../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; ^~~~~~ ../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; ^~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~ ../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; ^~~~~~ ../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; ^~~~~~ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~ ../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; ^~~~~~ ../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; ^~~~~~ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~ ../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; ^~~~~~ ../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; ^~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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] ../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]’: ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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] ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ ../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]’: ../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]’ ../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]’ ../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]’ ../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]’ ../src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../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; ^~~~~~~~~~ [57/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o [58/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o [59/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o [60/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o [61/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o [62/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o [63/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o [64/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/div.cc.o [65/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o [66/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_import.cc.o [67/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o [68/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o [69/178] Building CXX object src/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o [70/178] Building CXX object 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/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/c50801edbb5ee939bab4dfe18832c5b5e00a85a3 tensorflow-lite/2.6.0: Generated conaninfo.txt tensorflow-lite/2.6.0: Generated conanbuildinfo.txt tensorflow-lite/2.6.0: Generating the package tensorflow-lite/2.6.0: Package folder /home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/package/c50801edbb5ee939bab4dfe18832c5b5e00a85a3 tensorflow-lite/2.6.0: 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/2.6.0 package(): Packaged 1 '.a' file: libtensorflow-lite.a tensorflow-lite/2.6.0 package(): Packaged 1 '.cmake' file: conan-official-tensorflow-lite-targets.cmake tensorflow-lite/2.6.0 package(): Packaged 965 '.h' files tensorflow-lite/2.6.0 package(): Packaged 1 file: LICENSE tensorflow-lite/2.6.0: Package 'c50801edbb5ee939bab4dfe18832c5b5e00a85a3' created tensorflow-lite/2.6.0: Created package revision 0bf8b54c2519188ffad25776a2ff1f21 [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 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 [HOOK - conan-center.py] post_package_info(): WARN: [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] The *.cmake files have to be placed in a folder declared as `cpp_info.builddirs`. Currently folders declared: {'/home/conan/w/prod/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/package/c50801edbb5ee939bab4dfe18832c5b5e00a85a3/'} [HOOK - conan-center.py] post_package_info(): WARN: [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] Found files: ./lib/cmake/conan-official-tensorflow-lite-targets.cmake