******************************************************************************** conan install tensorflow-lite/2.6.0@ --build=tensorflow-lite --profile=/home/conan/w/BuildSingleReference/51231/da6dc35d-10fb-4f03-8108-71d726b64613/profile.txt ******************************************************************************** Configuration: [settings] arch=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++11 compiler.version=7 os=Linux [options] tensorflow-lite:shared=True [build_requires] [env] tensorflow-lite/2.6.0: Forced build from source Installing package: tensorflow-lite/2.6.0 Requirements abseil/20210324.2 from 'conan-center' - Cache cpuinfo/cci.20201217 from 'conan-center' - Cache eigen/3.4.0 from 'conan-center' - Cache farmhash/cci.20190513 from 'conan-center' - Cache fft/cci.20061228 from 'conan-center' - Cache flatbuffers/2.0.0 from 'conan-center' - Cache fp16/cci.20200514 from 'conan-center' - Cache fxdiv/cci.20200417 from 'conan-center' - Cache gemmlowp/cci.20210928 from 'conan-center' - Cache intel-neon2sse/cci.20210225 from 'conan-center' - Cache psimd/cci.20200517 from 'conan-center' - Cache pthreadpool/cci.20210218 from 'conan-center' - Cache ruy/cci.20210622 from 'conan-center' - Cache tensorflow-lite/2.6.0 from local cache - Cache xnnpack/cci.20211026 from 'conan-center' - Cache Packages abseil/20210324.2:66c5327ebdcecae0a01a863939964495fa019a06 - Cache cpuinfo/cci.20201217:550d427f2241cf3a0e5c6da17341a3dd64d6177d - Cache eigen/3.4.0:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache farmhash/cci.20190513:66c5327ebdcecae0a01a863939964495fa019a06 - Cache fft/cci.20061228:d50a0d523d98c15bb147b18fa7d203887c38be8b - Cache flatbuffers/2.0.0:bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce - Cache fp16/cci.20200514:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache fxdiv/cci.20200417:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache gemmlowp/cci.20210928:66c5327ebdcecae0a01a863939964495fa019a06 - Cache intel-neon2sse/cci.20210225:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache psimd/cci.20200517:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache pthreadpool/cci.20210218:e1faf57a89ad0b655d0e652865cdef319eb0f125 - Cache ruy/cci.20210622:67274708f5e0b3f803826381fc943b810d5399e4 - Cache tensorflow-lite/2.6.0:fdae87d91dcf8282305bef73a2e06ed62da7cf21 - Build xnnpack/cci.20211026:4185f68d9833d979166fd9dacbf5831f170a0403 - Cache Build requirements ninja/1.10.2 from 'conan-center' - Cache Build requirements packages ninja/1.10.2:24647d9fe8ec489125dfbae4b3ebefaf7581674c - Cache Installing (downloading, building) binaries... abseil/20210324.2: Already installed! [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 cpuinfo/cci.20201217: Already installed! [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 eigen/3.4.0: Already installed! [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 farmhash/cci.20190513: Already installed! [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 fft/cci.20061228: Already installed! [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 flatbuffers/2.0.0: Already installed! [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 fxdiv/cci.20200417: Already installed! [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 gemmlowp/cci.20210928: Already installed! [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 intel-neon2sse/cci.20210225: Already installed! [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 ninja/1.10.2: Already installed! [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 psimd/cci.20200517: Already installed! [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 fp16/cci.20200514: Already installed! [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 pthreadpool/cci.20210218: Already installed! [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 ruy/cci.20210622: Already installed! [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 xnnpack/cci.20211026: Already installed! [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 tensorflow-lite/2.6.0: Applying build-requirement: ninja/1.10.2 tensorflow-lite/2.6.0: Copying sources to build folder tensorflow-lite/2.6.0: Building your package in /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21 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)] 'fPIC' option not found [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK tensorflow-lite/2.6.0: Calling build() ----Running------ > cd '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21/build_subfolder' && cmake -G "Ninja" -DCMAKE_BUILD_TYPE="Release" -DCONAN_IN_LOCAL_CACHE="ON" -DCONAN_COMPILER="gcc" -DCONAN_COMPILER_VERSION="7" -DCONAN_CXX_FLAGS="-m64" -DCONAN_SHARED_LINKER_FLAGS="-m64" -DCONAN_C_FLAGS="-m64" -DCONAN_LIBCXX="libstdc++11" -DBUILD_SHARED_LIBS="ON" -DCMAKE_INSTALL_PREFIX="/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/package/fdae87d91dcf8282305bef73a2e06ed62da7cf21" -DCMAKE_INSTALL_BINDIR="bin" -DCMAKE_INSTALL_SBINDIR="bin" -DCMAKE_INSTALL_LIBEXECDIR="bin" -DCMAKE_INSTALL_LIBDIR="lib" -DCMAKE_INSTALL_INCLUDEDIR="include" -DCMAKE_INSTALL_OLDINCLUDEDIR="include" -DCMAKE_INSTALL_DATAROOTDIR="share" -DCMAKE_MODULE_PATH="/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21" -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY="ON" -DCONAN_EXPORTED="1" -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/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21' ----------------- -- The C compiler identification is GNU 7.2.0 -- The CXX compiler identification is GNU 7.2.0 -- 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 default RPATHs Conan policies -- Conan: Adjusting language standard -- Conan: Compiler GCC>=5, checking major version 7 -- Conan: Checking correct version: 7 -- Conan: C++ stdlib: libstdc++11 -- Conan: Using autogenerated Findabsl.cmake -- Found absl: 20210324.2 (found version "20210324.2") -- Library absl_periodic_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_periodic_sampler.a -- Library absl_scoped_set_env found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_scoped_set_env.a -- Library absl_strerror found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strerror.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strerror.a -- Library absl_failure_signal_handler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_failure_signal_handler.a -- Library absl_examine_stack found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_examine_stack.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_examine_stack.a -- Library absl_leak_check_disable found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check_disable.a -- Library absl_leak_check found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check.a -- Library absl_flags_parse found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_parse.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_parse.a -- Library absl_flags_usage found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage.a -- Library absl_flags_usage_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage_internal.a -- Library absl_flags found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags.a -- Library absl_flags_reflection found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_reflection.a -- Library absl_raw_hash_set found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_hash_set.a -- Library absl_hashtablez_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hashtablez_sampler.a -- Library absl_exponential_biased found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_exponential_biased.a -- Library absl_flags_private_handle_accessor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_private_handle_accessor.a -- Library absl_flags_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_internal.a -- Library absl_flags_config found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_config.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_config.a -- Library absl_flags_program_name found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_program_name.a -- Library absl_flags_marshalling found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_marshalling.a -- Library absl_flags_commandlineflag found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_hash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hash.a -- Library absl_city found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_city.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_city.a -- Library absl_wyhash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_wyhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_wyhash.a -- Library absl_random_distributions found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_distributions.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_distributions.a -- Library absl_random_seed_sequences found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_sequences.a -- Library absl_random_internal_pool_urbg found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_gen_exception found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_seed_material found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_seed_material.a -- Library absl_random_internal_randen found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_randen_slow found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_platform found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_statusor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_statusor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_statusor.a -- Library absl_status found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_status.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_status.a -- Library absl_str_format_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_str_format_internal.a -- Library absl_cord found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_cord.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_cord.a -- Library absl_synchronization found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_synchronization.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_synchronization.a -- Library absl_stacktrace found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_stacktrace.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_stacktrace.a -- Library absl_symbolize found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_symbolize.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_symbolize.a -- Library absl_debugging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_debugging_internal.a -- Library absl_demangle_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_demangle_internal.a -- Library absl_graphcycles_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_graphcycles_internal.a -- Library absl_malloc_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_malloc_internal.a -- Library absl_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time.a -- Library absl_strings found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings.a -- Library absl_int128 found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_int128.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_int128.a -- Library absl_strings_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings_internal.a -- Library absl_base found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_base.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_base.a -- Library absl_spinlock_wait found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_spinlock_wait.a -- Library absl_civil_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_civil_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_civil_time.a -- Library absl_time_zone found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time_zone.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time_zone.a -- Library absl_bad_any_cast_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_any_cast_impl.a -- Library absl_throw_delegate found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_throw_delegate.a -- Library absl_bad_optional_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_optional_access.a -- Library absl_bad_variant_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_variant_access.a -- Library absl_raw_logging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_logging_internal.a -- Library absl_log_severity found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_log_severity.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_log_severity.a -- Library absl_log_severity found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_log_severity.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_log_severity.a -- Library absl_raw_logging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_logging_internal.a -- Library absl_bad_variant_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_variant_access.a -- Library absl_bad_optional_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_optional_access.a -- Library absl_throw_delegate found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_throw_delegate.a -- Library absl_bad_any_cast_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_bad_any_cast_impl.a -- Library absl_time_zone found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time_zone.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time_zone.a -- Library absl_civil_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_civil_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_civil_time.a -- Library absl_spinlock_wait found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_spinlock_wait.a -- Library absl_base found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_base.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_base.a -- Library absl_strings_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings_internal.a -- Library absl_int128 found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_int128.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_int128.a -- Library absl_strings found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strings.a -- Library absl_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_time.a -- Library absl_malloc_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_malloc_internal.a -- Library absl_graphcycles_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_graphcycles_internal.a -- Library absl_demangle_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_demangle_internal.a -- Library absl_debugging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_debugging_internal.a -- Library absl_symbolize found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_symbolize.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_symbolize.a -- Library absl_stacktrace found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_stacktrace.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_stacktrace.a -- Library absl_synchronization found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_synchronization.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_synchronization.a -- Library absl_cord found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_cord.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_cord.a -- Library absl_str_format_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_str_format_internal.a -- Library absl_status found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_status.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_status.a -- Library absl_statusor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_statusor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_statusor.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_random_internal_platform found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_slow found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_seed_material found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_seed_material.a -- Library absl_random_seed_gen_exception found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_pool_urbg found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_sequences found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_seed_sequences.a -- Library absl_random_distributions found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_distributions.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_random_distributions.a -- Library absl_wyhash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_wyhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_wyhash.a -- Library absl_city found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_city.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_city.a -- Library absl_hash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hash.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_flags_commandlineflag found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_marshalling found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_marshalling.a -- Library absl_flags_program_name found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_program_name.a -- Library absl_flags_config found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_config.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_config.a -- Library absl_flags_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_internal.a -- Library absl_flags_private_handle_accessor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_private_handle_accessor.a -- Library absl_exponential_biased found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_exponential_biased.a -- Library absl_hashtablez_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_hashtablez_sampler.a -- Library absl_raw_hash_set found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_raw_hash_set.a -- Library absl_flags_reflection found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_reflection.a -- Library absl_flags found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags.a -- Library absl_flags_usage_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage_internal.a -- Library absl_flags_usage found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_usage.a -- Library absl_flags_parse found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_parse.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_flags_parse.a -- Library absl_leak_check found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check.a -- Library absl_leak_check_disable found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_leak_check_disable.a -- Library absl_examine_stack found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_examine_stack.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_examine_stack.a -- Library absl_failure_signal_handler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_failure_signal_handler.a -- Library absl_strerror found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strerror.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_strerror.a -- Library absl_scoped_set_env found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_scoped_set_env.a -- Library absl_periodic_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libabsl_periodic_sampler.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/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libfarmhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libfarmhash.a -- Conan: Using autogenerated Findfft.cmake -- Found fft: cci.20061228 (found version "cci.20061228") -- Library fft found /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/d50a0d523d98c15bb147b18fa7d203887c38be8b/lib/libfft.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/d50a0d523d98c15bb147b18fa7d203887c38be8b/lib/libfft.a -- Conan: Using autogenerated FindFlatbuffers.cmake -- Found Flatbuffers: 2.0.0 (found version "2.0.0") -- Library flatbuffers found /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/lib/libflatbuffers.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/lib/libflatbuffers.a -- Library flatbuffers found /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/lib/libflatbuffers.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/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/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libeight_bit_int_gemm.a -- Library eight_bit_int_gemm found /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libeight_bit_int_gemm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/lib/libeight_bit_int_gemm.a -- Conan: Using autogenerated FindNEON_2_SSE.cmake -- Found NEON_2_SSE: cci.20210225 (found version "cci.20210225") -- Conan: Using autogenerated Findruy.cmake -- Found ruy: cci.20210622 (found version "cci.20210622") -- Library ruy_frontend found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_frontend.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_frontend.a -- Library ruy_context found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_context.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_context.a -- Library ruy_trmul found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_trmul.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_trmul.a -- Library ruy_thread_pool found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_thread_pool.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_thread_pool.a -- Library ruy_blocking_counter found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_blocking_counter.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_blocking_counter.a -- Library ruy_prepare_packed_matrices found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_prepare_packed_matrices.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_prepare_packed_matrices.a -- Library ruy_ctx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_ctx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_ctx.a -- Library ruy_allocator found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_allocator.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_allocator.a -- Library ruy_prepacked_cache found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_prepacked_cache.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_prepacked_cache.a -- Library ruy_tune found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_tune.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_tune.a -- Library ruy_wait found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_wait.a -- Library ruy_apply_multiplier found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_apply_multiplier.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_apply_multiplier.a -- Library ruy_block_map found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_block_map.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_block_map.a -- Library ruy_context_get_ctx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_context_get_ctx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_context_get_ctx.a -- Library ruy_cpuinfo found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_cpuinfo.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_cpuinfo.a -- Library ruy_denormal found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_denormal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_denormal.a -- Library ruy_have_built_path_for_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx.a -- Library ruy_have_built_path_for_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx2_fma.a -- Library ruy_have_built_path_for_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_have_built_path_for_avx512.a -- Library ruy_kernel_arm found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_arm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_arm.a -- Library ruy_kernel_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx.a -- Library ruy_kernel_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx2_fma.a -- Library ruy_kernel_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_kernel_avx512.a -- Library ruy_pack_arm found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_arm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_arm.a -- Library ruy_pack_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx.a -- Library ruy_pack_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx2_fma.a -- Library ruy_pack_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_pack_avx512.a -- Library ruy_system_aligned_alloc found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_system_aligned_alloc.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_system_aligned_alloc.a -- Library ruy_profiler_instrumentation found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_profiler_instrumentation.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_profiler_instrumentation.a -- Library ruy_profiler_profiler found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_profiler_profiler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/lib/libruy_profiler_profiler.a -- Conan: Using autogenerated Findcpuinfo.cmake -- Found cpuinfo: cci.20201217 (found version "cci.20201217") -- Library cpuinfo found /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/lib/libcpuinfo.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/lib/libcpuinfo.a -- Library clog found /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/lib/libclog.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/lib/libclog.a -- Conan: Using autogenerated Findxnnpack.cmake -- Found xnnpack: cci.20211026 (found version "cci.20211026") -- Library XNNPACK found /home/conan/w/BuildSingleReference/.conan/data/xnnpack/cci.20211026/_/_/package/4185f68d9833d979166fd9dacbf5831f170a0403/lib/libXNNPACK.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/xnnpack/cci.20211026/_/_/package/4185f68d9833d979166fd9dacbf5831f170a0403/lib/libXNNPACK.a -- Dependency cpuinfo already found -- Conan: Using autogenerated Findfp16.cmake -- Found fp16: cci.20200514 (found version "cci.20200514") -- Conan: Using autogenerated Findpsimd.cmake -- Found psimd: cci.20200517 (found version "cci.20200517") -- Conan: Using autogenerated Findfxdiv.cmake -- Found fxdiv: cci.20200417 (found version "cci.20200417") -- Conan: Using autogenerated Findpthreadpool.cmake -- Found pthreadpool: cci.20210218 (found version "cci.20210218") -- Library pthreadpool found /home/conan/w/BuildSingleReference/.conan/data/pthreadpool/cci.20210218/_/_/package/e1faf57a89ad0b655d0e652865cdef319eb0f125/lib/libpthreadpool.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/pthreadpool/cci.20210218/_/_/package/e1faf57a89ad0b655d0e652865cdef319eb0f125/lib/libpthreadpool.a -- Dependency fxdiv already found -- Configuring done -- Generating done -- Build files have been written to: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21/build_subfolder ----Running------ > cmake --build '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21/build_subfolder' '--' '-j3' ----------------- [1/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/tensor_utils.cc.o [2/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/error_reporter.cc.o [3/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/op_resolver.cc.o [4/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o [5/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api_experimental.cc.o [6/178] Building C object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/common.c.o [7/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/nnapi/nnapi_delegate_disabled.cc.o [8/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/core/api/flatbuffer_conversions.cc.o [9/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/c/c_api.cc.o [10/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o [11/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/serialization.cc.o [12/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/telemetry.cc.o [13/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o [14/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/experimental/resource/resource_variable.cc.o [15/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/experimental/resource/static_hashtable.cc.o [16/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/cpu_check.cc.o [17/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/neon_tensor_utils.cc.o [18/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/sse_tensor_utils.cc.o [19/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o [20/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/reference/portable_tensor_utils.cc.o [21/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc.cc.o [22/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_dct.cc.o [23/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/kernel_utils.cc.o [24/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_mel_filterbank.cc.o [25/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/quantization_util.cc.o [26/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/quantization_util.cc.o [27/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/transpose_utils.cc.o [28/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/tensor_utils.cc.o [29/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/internal/spectrogram.cc.o [30/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/add_n.cc.o [31/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/add.cc.o [32/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o [33/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/atan2.cc.o [34/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/arg_min_max.cc.o [35/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/basic_rnn.cc.o [36/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/activations.cc.o [37/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/audio_spectrogram.cc.o [38/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o [39/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/batch_to_space_nd.cc.o [40/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o [41/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/call_once.cc.o [42/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/broadcast_to.cc.o [43/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o [44/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/comparisons.cc.o [45/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/complex_support.cc.o [46/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/ceil.cc.o [47/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cast.cc.o [48/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o [49/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/concatenation.cc.o [50/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o [51/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv3d.cc.o [52/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o [53/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o [54/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/densify.cc.o [55/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/deprecated_backends.cc.o [56/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/cumsum.cc.o [57/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o [58/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/conv.cc.o In file included from ../source_subfolder/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43:0, from ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31, from ../source_subfolder/tensorflow/lite/kernels/conv.cc:37: ../source_subfolder/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/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/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/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/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/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/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/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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]’: ../source_subfolder/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]’ ../source_subfolder/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/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/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/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/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/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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; ^~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/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/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/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/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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] ../source_subfolder/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]’: ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: 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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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] ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ ../source_subfolder/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]’: ../source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: 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]’ ../source_subfolder/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]’ ../source_subfolder/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/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/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/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/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/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/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/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]’ ../source_subfolder/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]’ ../source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here ../source_subfolder/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; ^~~~~~~~~~ [59/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o [60/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o [61/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o [62/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o [63/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o [64/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o [65/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o [66/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/div.cc.o [67/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o [68/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o [69/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o [70/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o [71/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor_div.cc.o [72/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o [73/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o [74/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o [75/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gather_nd.cc.o [76/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable.cc.o [77/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_find.cc.o [78/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_import.cc.o [79/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o [80/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o [81/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/if.cc.o [82/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/irfft2d.cc.o [83/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/kernel_util.cc.o [84/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/gru_cell.cc.o [85/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o [86/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/logical.cc.o [87/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lsh_projection.cc.o [88/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/l2norm.cc.o [89/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/local_response_norm.cc.o [90/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm_eval.cc.o [91/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/matrix_diag.cc.o [92/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o [93/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o FAILED: source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o /usr/bin/g++ -D_GLIBCXX_USE_CXX11_ABI=1 -Dtensorflow_lite_EXPORTS 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/home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/d50a0d523d98c15bb147b18fa7d203887c38be8b/include -isystem /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include/gemmlowp -isystem /home/conan/w/BuildSingleReference/.conan/data/intel-neon2sse/cci.20210225/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include -isystem /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/include -isystem 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See for instructions. 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/home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3 -isystem /home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/d50a0d523d98c15bb147b18fa7d203887c38be8b/include -isystem /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include/gemmlowp -isystem /home/conan/w/BuildSingleReference/.conan/data/intel-neon2sse/cci.20210225/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include -isystem /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/include -isystem /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/include -m64 -O3 -DNDEBUG -fPIC -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -std=gnu++14 -MD -MT source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o -MF source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o.d -o source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o -c ../source_subfolder/tensorflow/lite/kernels/mfcc.cc g++: internal compiler error: Terminated (program cc1plus) Terminated [95/178] Building CXX object source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm.cc.o FAILED: 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/home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3 -isystem /home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/d50a0d523d98c15bb147b18fa7d203887c38be8b/include -isystem /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/bd8907a3533ae6a5cf2c9f0a17d5d60a45ed0dce/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include -isystem /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/66c5327ebdcecae0a01a863939964495fa019a06/include/gemmlowp -isystem /home/conan/w/BuildSingleReference/.conan/data/intel-neon2sse/cci.20210225/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include -isystem /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/67274708f5e0b3f803826381fc943b810d5399e4/include -isystem /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/550d427f2241cf3a0e5c6da17341a3dd64d6177d/include -m64 -O3 -DNDEBUG -fPIC -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -std=gnu++14 -MD -MT source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm.cc.o -MF source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm.cc.o.d -o source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/lstm.cc.o -c ../source_subfolder/tensorflow/lite/kernels/lstm.cc g++: internal compiler error: Terminated (program cc1plus) Please submit a full bug report, with preprocessed source if appropriate. See for instructions. Terminated ninja: build stopped: subcommand failed. Received SIGTERM! 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 eigen/3.4.0: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib eigen/3.4.0: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib fxdiv/cci.20200417: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/fxdiv/cci.20200417/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib ninja/1.10.2: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/ninja/1.10.2/_/_/package/24647d9fe8ec489125dfbae4b3ebefaf7581674c/lib psimd/cci.20200517: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/psimd/cci.20200517/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib fp16/cci.20200514: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/fp16/cci.20200514/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib tensorflow-lite/2.6.0: WARN: Build folder is dirty, removing it: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fdae87d91dcf8282305bef73a2e06ed62da7cf21 ERROR: Exiting with code: 5