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tensorflow-lite: Add v2.15.0
Specify library name and version: tensorflow-lite/v2.15.0
Add 2.15.0 and update a few dependencies which were causing crashes when running on M1 macs under rosetta. Also, remove 2.12.0, which was just a copy of 2.10.0.
Depends on #21762, #21761, #21760 and #21759, which should be merged before this.
- [x] I've read the contributing guidelines.
- [x] I've used a recent Conan client version close to the currently deployed.
- [ ] I've tried at least one configuration locally with the conan-center hook activated.
I detected other pull requests that are modifying tensorflow-lite/all recipe:
- #23078
- #20173
- #20172
This message is automatically generated by https://github.com/ericLemanissier/conan-center-conflicting-prs so don't hesitate to report issues/improvements there.
Conan v1 pipeline :x:
Failure in build 1 (8756b1bbc49f2d35fe1528190857304624aad883):
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tensorflow-lite/2.10.0: Error running command
conan info tensorflow-lite/2.10.0@#a5c94d2f2b29171039ed906f6bce4491 --json {jsonName} -pr {profileName}:[settings] arch=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++11 compiler.version=5 os=Linux [options] tensorflow-lite:shared=False ... ERROR: Failed requirement 'ruy/cci.20231129' from 'tensorflow-lite/2.10.0' ERROR: Unable to find 'ruy/cci.20231129' in remotes -
tensorflow-lite/2.15.0: Didn't run or was cancelled before finishing
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Failure in build 1 (8756b1bbc49f2d35fe1528190857304624aad883):
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tensorflow-lite/2.15.0: Error running command
conan graph info --requires tensorflow-lite/2.15.0@#7dd65e75d914c80369be1ffc6ede52e8 -f json -pr:h /home/conan/w/prod-v2/bsr/57789/cecae/profile_linux_11_libstdcpp11_17_gcc_release_64.-shared-False.txt -pr:b /home/conan/w/prod-v2/bsr/57789/cecae/profile_linux_11_libstdcpp11_17_gcc_release_64..txt:======== Computing dependency graph ======== abseil/20230125.1: Not found in local cache, looking in remotes... abseil/20230125.1: Checking remote: conan-center abseil/20230125.1: Downloaded recipe revision dbfaf612b6543c5b308b40ea3af3d146 eigen/3.4.0: Not found in local cache, looking in remotes... eigen/3.4.0: Checking remote: conan-center eigen/3.4.0: Downloaded recipe revision 2e192482a8acff96fe34766adca2b24c farmhash/cci.20190513: Not found in local cache, looking in remotes... farmhash/cci.20190513: Checking remote: conan-center farmhash/cci.20190513: Downloaded recipe revision af6593f545dd2b496e6bd019f1deb66f fft/cci.20061228: Not found in local cache, looking in remotes... fft/cci.20061228: Checking remote: conan-center fft/cci.20061228: Downloaded recipe revision 76a056c8ad3656ad557071c230f0f50c flatbuffers/23.5.26: Not found in local cache, looking in remotes... flatbuffers/23.5.26: Checking remote: conan-center flatbuffers/23.5.26: Downloaded recipe revision b153646f6546daab4c7326970b6cd89c gemmlowp/cci.20210928: Not found in local cache, looking in remotes... gemmlowp/cci.20210928: Checking remote: conan-center gemmlowp/cci.20210928: Downloaded recipe revision 28483fa833aa47549961bb9c5ab84bfa ruy/cci.20231129: Not found in local cache, looking in remotes... ruy/cci.20231129: Checking remote: conan-center ruy/cci.20231129: Checking remote: c3i_PR-v2-21763 Graph root cli Requirements abseil/20230125.1#dbfaf612b6543c5b308b40ea3af3d146 - Downloaded (conan-center) eigen/3.4.0#2e192482a8acff96fe34766adca2b24c - Downloaded (conan-center) farmhash/cci.20190513#af6593f545dd2b496e6bd019f1deb66f - Downloaded (conan-center) fft/cci.20061228#76a056c8ad3656ad557071c230f0f50c - Downloaded (conan-center) flatbuffers/23.5.26#b153646f6546daab4c7326970b6cd89c - Downloaded (conan-center) gemmlowp/cci.20210928#28483fa833aa47549961bb9c5ab84bfa - Downloaded (conan-center) tensorflow-lite/2.15.0#7dd65e75d914c80369be1ffc6ede52e8 - Cache Graph error Package 'ruy/cci.20231129' not resolved: Unable to find 'ruy/cci.20231129' in remotes. ERROR: Package 'ruy/cci.20231129' not resolved: Unable to find 'ruy/cci.20231129' in remotes. -
tensorflow-lite/2.10.0: Didn't run or was cancelled before finishing
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Removal of 2.12.0 closes #20170
I tested this and it works (in contrast to the currently published versions 2.10 and "2.12", which fail to build)
Conan v1 pipeline :x:
Changes not allowed in build 2:
[sdl_ttf, tensorflow-lite]
Only one library can be changed in the same PR.
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Changes not allowed in build 2:
[sdl_ttf, tensorflow-lite]
Only one library can be changed in the same PR.
Conan v1 pipeline :x:
Failure in build 4 (e8483a297012bfb2157b7390772d2a77bd96e0ba):
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tensorflow-lite/2.15.0: CI failed to create some packages (All logs)
Logs for packageID
c50523cf8a1db98e1be752dc028fce59b5ae8d31:[settings] arch=x86_64 build_type=Debug compiler=gcc compiler.libcxx=libstdc++11 compiler.version=11 os=Linux [options] tensorflow-lite:shared=True[...] | ^~~~ /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]': /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = std::enable_if<true, __vector(4) float>::type]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114081/cffed/.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<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 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<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits<Packet>::size; | ^~~~ /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]': /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = std::enable_if<true, __vector(4) float>::type]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114081/cffed/.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<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 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<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]' /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits<Packet>::size; | ^~~~ /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/reduce_window.cc: In function 'TfLiteStatus tflite::ops::builtin::reduce_window::{anonymous}::Eval(TfLiteContext*, TfLiteNode*)': /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/src/tensorflow/lite/kernels/reduce_window.cc:328:1: warning: control reaches end of non-void function [-Wreturn-type] 328 | } | ^ /opt/conan/binutils/bin/ld: cannot find -lfft2d_fftsg2d /opt/conan/binutils/bin/ld: cannot find -lpthreadpool collect2: error: ld returned 1 exit status make[2]: *** [libtensorflow-lite.so] Error 1 make[1]: *** [CMakeFiles/tensorflow-lite.dir/all] Error 2 make: *** [all] Error 2 tensorflow-lite/2.15.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior tensorflow-lite/2.15.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior tensorflow-lite/2.15.0: ERROR: Package 'c50523cf8a1db98e1be752dc028fce59b5ae8d31' build failed tensorflow-lite/2.15.0: WARN: Build folder /home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/build/Debug ERROR: tensorflow-lite/2.15.0: Error in build() method, line 137 cmake.build() ConanException: Error 2 while executing cmake --build "/home/conan/w/prod-v1/bsr/114081/cffed/.conan/data/tensorflow-lite/2.15.0/_/_/build/c50523cf8a1db98e1be752dc028fce59b5ae8d31/build/Debug" '--' '-j3' -
tensorflow-lite/2.10.0: Didn't run or was cancelled before finishing
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Failure in build 4 (e8483a297012bfb2157b7390772d2a77bd96e0ba):
-
tensorflow-lite/2.10.0: Didn't run or was cancelled before finishing
-
tensorflow-lite/2.15.0: CI failed to create some packages (All logs)
Logs for packageID
934298f724fbc0074322ae0cdaf1dc24d06e934c:[settings] arch=x86_64 build_type=Release compiler=gcc compiler.cppstd=17 compiler.libcxx=libstdc++11 compiler.version=11 os=Linux [options] */*:shared=True[...] [ 85%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o [ 85%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o [ 85%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unsorted_segment.cc.o [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/allocation.cc.o [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/array.cc.o [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o [ 90%] Building CXX object CMakeFiles/tensorflow-lite.dir/graph_info.cc.o [ 90%] Building CXX object CMakeFiles/tensorflow-lite.dir/logger.cc.o [ 90%] Building CXX object CMakeFiles/tensorflow-lite.dir/minimal_logging.cc.o [ 91%] Building CXX object CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o [ 91%] Building CXX object CMakeFiles/tensorflow-lite.dir/mutable_op_resolver.cc.o [ 92%] Building CXX object CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o [ 92%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o [ 92%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_memory_arena_debug_dump.cc.o [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_planner.cc.o [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/stderr_reporter.cc.o [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/string_util.cc.o [ 95%] Building CXX object CMakeFiles/tensorflow-lite.dir/tensorflow_profiler_logger_shim.cc.o [ 95%] Building CXX object CMakeFiles/tensorflow-lite.dir/tflite_with_xnnpack_optional.cc.o [ 95%] Building CXX object CMakeFiles/tensorflow-lite.dir/util.cc.o [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/telemetry.cc.o [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/c/telemetry_setting_internal.cc.o [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/schema/schema_utils.cc.o [100%] Linking CXX shared library libtensorflow-lite.so /opt/conan/binutils/bin/ld: cannot find -lfft2d_fftsg2d collect2: error: ld returned 1 exit status CMakeFiles/tensorflow-lite.dir/build.make:3906: recipe for target 'libtensorflow-lite.so' failed make[2]: *** [libtensorflow-lite.so] Error 1 CMakeFiles/Makefile2:118: recipe for target 'CMakeFiles/tensorflow-lite.dir/all' failed make[1]: *** [CMakeFiles/tensorflow-lite.dir/all] Error 2 Makefile:90: recipe for target 'all' failed make: *** [all] Error 2 tensorflow-lite/2.15.0: ERROR: Package '934298f724fbc0074322ae0cdaf1dc24d06e934c' build failed tensorflow-lite/2.15.0: WARN: Build folder /home/conan/w/prod-v2/bsr/99193/bdfde/p/b/tensoece8d8988243b/b/build/Release ERROR: tensorflow-lite/2.15.0: Error in build() method, line 137 cmake.build() ConanException: Error 2 while executing
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Conan v1 pipeline :x:
Failure in build 5 (116245fafe3ea2b36f1bbfdba53d0ce69c8d75eb):
-
tensorflow-lite/2.10.0: Didn't run or was cancelled before finishing
-
tensorflow-lite/2.15.0: CI failed to create some packages (All logs)
Logs for packageID
291f3f97a7286a7174a4dcc045a614461c60933b:[settings] arch=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++11 compiler.version=11 os=Linux [options] tensorflow-lite:shared=True[...] /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114247/aaeda/.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<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 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<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits<Packet>::size; | ^~~~ /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]': /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = std::enable_if<true, __vector(4) float>::type]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = EigenForTFLite::internal::Packet4f]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, 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, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; 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<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114247/aaeda/.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<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 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<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]' /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits<Packet>::size; | ^~~~ /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/conv3d.cc: In function 'TfLiteStatus tflite::ops::builtin::conv3d::EvalFloat(tflite::ops::builtin::conv3d::KernelType, TfLiteContext*, TfLiteNode*, TfLiteConv3DParams*, tflite::ops::builtin::conv3d::OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*, TfLiteTensor*)': /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/conv3d.cc:245:1: warning: control reaches end of non-void function [-Wreturn-type] 245 | } | ^ /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/reduce_window.cc: In function 'TfLiteStatus tflite::ops::builtin::reduce_window::{anonymous}::Eval(TfLiteContext*, TfLiteNode*)': /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/src/tensorflow/lite/kernels/reduce_window.cc:328:1: warning: control reaches end of non-void function [-Wreturn-type] 328 | } | ^ /opt/conan/binutils/bin/ld: cannot find -lpthreadpool collect2: error: ld returned 1 exit status make[2]: *** [libtensorflow-lite.so] Error 1 make[1]: *** [CMakeFiles/tensorflow-lite.dir/all] Error 2 make: *** [all] Error 2 tensorflow-lite/2.15.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior tensorflow-lite/2.15.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior tensorflow-lite/2.15.0: ERROR: Package '291f3f97a7286a7174a4dcc045a614461c60933b' build failed tensorflow-lite/2.15.0: WARN: Build folder /home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/build/Release ERROR: tensorflow-lite/2.15.0: Error in build() method, line 137 cmake.build() ConanException: Error 2 while executing cmake --build "/home/conan/w/prod-v1/bsr/114247/aaeda/.conan/data/tensorflow-lite/2.15.0/_/_/build/291f3f97a7286a7174a4dcc045a614461c60933b/build/Release" '--' '-j3'
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Conan v1 pipeline :heavy_check_mark:
All green in build 6 (e9c1f9030ca7d09ce2921eed7ede21f6fb540635):
-
tensorflow-lite/2.10.0: All packages built successfully! (All logs)
-
tensorflow-lite/2.15.0: All packages built successfully! (All logs)
Conan v2 pipeline :heavy_check_mark:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
All green in build 6 (e9c1f9030ca7d09ce2921eed7ede21f6fb540635):
-
tensorflow-lite/2.10.0: All packages built successfully! (All logs)
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tensorflow-lite/2.15.0: All packages built successfully! (All logs)
All build failures and linter issues should be resolved now and this should be ready for review. We're using this package in production since a few months back (static build, windows and mac).
Likewise using this on macOS, iOS, and Linux without modification. Cross-compiling to Android requires working around a problem in xnnpack/clang, but that's an upstream issue and I'll provide a separate PR to the xnnpack recipe once this one is merged. LGTM, thank you @talyz for building this integration!
(I am not associated with JFrog, still needs maintainer approval.)
Just rebased on master to get the separate dependency update in. @uilianries is there anything more that needs to happen for this to be reviewed / merged?
Conan v1 pipeline :heavy_check_mark:
All green in build 1 (d955ca62b4931ce96ffb6059a67c3ce158c426a9):
-
tensorflow-lite/2.15.0: All packages built successfully! (All logs)
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tensorflow-lite/2.10.0: All packages built successfully! (All logs)
Conan v2 pipeline :heavy_check_mark:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
All green in build 1 (d955ca62b4931ce96ffb6059a67c3ce158c426a9):
-
tensorflow-lite/2.15.0: All packages built successfully! (All logs)
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tensorflow-lite/2.10.0: All packages built successfully! (All logs)
Authentic Vision is now using this recipe as-is in production since April with no known issues on Ubuntu 22.04, 24.04, iOS 13-17, and Android 6-14. The XNNPACK change at #22951 was recently merged to allow building for Android -- if anyone following this PR wants to do that, bump your caches :).
We'd eventually want to bump TensorFlow and its dependencies to 2.15.1 and 2.16.X, would appreciate if this could be reviewed again and merged in preparation for that.
We'd eventually want to bump TensorFlow and its dependencies to 2.15.1 and 2.16.X, would appreciate if this could be reviewed again and merged in preparation for that.
We'll push this review forward this next week, thanks a lot for taking the time to create the PR in the first place. Could you fix the conandata conflicts meanwhile? Thanks!
We'll push this review forward this next week, thanks a lot for taking the time to create the PR in the first place. Could you fix the conandata conflicts meanwhile? Thanks!
Thanks for the update @RubenRBS, the original author is @talyz though and probably received your comment with this thread anyway. I have just been using this recipe from this branch and worked on Android dependencies a bit.
Conan v1 pipeline :x:
Sorry, the system is under maintenance and it doesn't accept builds right now.
Motivation: Scheduled infra work for Jun 9th
Please, check https://status.conan.io to obtain more information. Thanks for your understanding and help with the Conan Center Index!
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Sorry, the system is under maintenance and it doesn't accept builds right now.
Motivation: Scheduled infra work for Jun 9th
Please, check https://status.conan.io to obtain more information. Thanks for your understanding and help with the Conan Center Index!
Conan v1 pipeline :x:
Sorry, the system is under maintenance and it doesn't accept builds right now.
Motivation: Scheduled infra work for Jun 9th
Please, check https://status.conan.io to obtain more information. Thanks for your understanding and help with the Conan Center Index!
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Sorry, the system is under maintenance and it doesn't accept builds right now.
Motivation: Scheduled infra work for Jun 9th
Please, check https://status.conan.io to obtain more information. Thanks for your understanding and help with the Conan Center Index!
Conan v1 pipeline :x:
Failure in build 4 (396fb4666c31f183e426096b3e9b15e9e3b54d2f):
-
tensorflow-lite/2.15.0: Error running command
conan export recipes/tensorflow-lite/all/conanfile.py tensorflow-lite/2.15.0@:[HOOK - conan-center.py] pre_export(): [DEPRECATED GLOBAL CPPSTD (KB-H001)] OK [HOOK - conan-center.py] pre_export(): [REFERENCE LOWERCASE (KB-H002)] OK [HOOK - conan-center.py] pre_export(): [RECIPE METADATA (KB-H003)] OK [HOOK - conan-center.py] pre_export(): [HEADER_ONLY, NO COPY SOURCE (KB-H005)] OK [HOOK - conan-center.py] pre_export(): [FPIC OPTION (KB-H006)] OK [HOOK - conan-center.py] pre_export(): [VERSION RANGES (KB-H008)] OK [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] Total recipe size: 24.830078125 KB [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] OK [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE FOLDER (KB-H024)] OK [HOOK - conan-center.py] pre_export(): [META LINES (KB-H025)] OK [HOOK - conan-center.py] pre_export(): [CONAN CENTER INDEX URL (KB-H027)] OK [HOOK - conan-center.py] pre_export(): [CMAKE MINIMUM VERSION (KB-H028)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - RUN ENVIRONMENT (KB-H029)] OK [HOOK - conan-center.py] pre_export(): [SYSTEM REQUIREMENTS (KB-H032)] OK [HOOK - conan-center.py] pre_export(): [CONANDATA.YML FORMAT (KB-H030)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO IMPORTS() (KB-H034)] OK [HOOK - conan-center.py] pre_export(): [NO AUTHOR (KB-H037)] OK [HOOK - conan-center.py] pre_export(): [NOT ALLOWED ATTRIBUTES (KB-H039)] OK [HOOK - conan-center.py] pre_export(): [NO TARGET NAME (KB-H040)] OK [HOOK - conan-center.py] pre_export(): [NO FINAL ENDLINE (KB-H041)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRES.ADD() (KB-H044)] OK [HOOK - conan-center.py] pre_export(): [DELETE OPTIONS (KB-H045)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERBOSE MAKEFILE (KB-H046)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERSION REQUIRED (KB-H048)] OK [HOOK - conan-center.py] pre_export(): [CMAKE WINDOWS EXPORT ALL SYMBOLS (KB-H049)] OK [HOOK - conan-center.py] pre_export(): [DEFAULT OPTIONS AS DICTIONARY (KB-H051)] OK [HOOK - conan-center.py] pre_export(): [CONFIG.YML HAS NEW VERSION (KB-H052)] OK [HOOK - conan-center.py] pre_export(): [PRIVATE IMPORTS (KB-H053)] OK [HOOK - conan-center.py] pre_export(): [SINGLE REQUIRES (KB-H055)] OK [HOOK - conan-center.py] pre_export(): [TOOLS RENAME (KB-H057)] OK [HOOK - conan-center.py] pre_export(): [ILLEGAL CHARACTERS (KB-H058)] OK [HOOK - conan-center.py] pre_export(): [CLASS NAME (KB-H059)] OK [HOOK - conan-center.py] pre_export(): [NO CRLF (KB-H060)] OK [HOOK - conan-center.py] pre_export(): [NO BUILD SYSTEM FUNCTIONS (KB-H061)] OK [HOOK - conan-center.py] pre_export(): [TOOLS CROSS BUILDING (KB-H062)] OK [HOOK - conan-center.py] pre_export(): [INVALID TOPICS (KB-H064)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRED_CONAN_VERSION (KB-H065)] OK [HOOK - conan-center.py] pre_export(): [TEST_TYPE MANAGEMENT (KB-H068)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO DEFAULT OPTIONS (KB-H069)] OK [HOOK - conan-center.py] pre_export(): [MANDATORY SETTINGS (KB-H070)] OK [HOOK - conan-center.py] pre_export(): [PYLINT EXECUTION (KB-H072)] OK [HOOK - conan-center.py] pre_export(): [REQUIREMENT OVERRIDE PARAMETER (KB-H075)] OK WARN: *** Conan 1 is legacy and on a deprecation path *** WARN: *** Please upgrade to Conan 2 *** [HOOK - conan-center.py] pre_export(): ERROR: [NO DANGLING PATCHES (KB-H078)] The patch file 'patches/disable_fetch_content.patch' does not exist. (https://github.com/conan-io/conan-center-index/blob/master/docs/error_knowledge_base.md#KB-H078-NO-DANGLING-PATCHES) ERROR: [HOOK - conan-center.py] pre_export(): Some checks failed running the hook, check the output -
tensorflow-lite/2.10.0: Error running command
conan export recipes/tensorflow-lite/all/conanfile.py tensorflow-lite/2.10.0@:[HOOK - conan-center.py] pre_export(): [DEPRECATED GLOBAL CPPSTD (KB-H001)] OK [HOOK - conan-center.py] pre_export(): [REFERENCE LOWERCASE (KB-H002)] OK [HOOK - conan-center.py] pre_export(): [RECIPE METADATA (KB-H003)] OK [HOOK - conan-center.py] pre_export(): [HEADER_ONLY, NO COPY SOURCE (KB-H005)] OK [HOOK - conan-center.py] pre_export(): [FPIC OPTION (KB-H006)] OK [HOOK - conan-center.py] pre_export(): [VERSION RANGES (KB-H008)] OK [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] Total recipe size: 24.830078125 KB [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] OK [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE FOLDER (KB-H024)] OK [HOOK - conan-center.py] pre_export(): [META LINES (KB-H025)] OK [HOOK - conan-center.py] pre_export(): [CONAN CENTER INDEX URL (KB-H027)] OK [HOOK - conan-center.py] pre_export(): [CMAKE MINIMUM VERSION (KB-H028)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - RUN ENVIRONMENT (KB-H029)] OK [HOOK - conan-center.py] pre_export(): [SYSTEM REQUIREMENTS (KB-H032)] OK [HOOK - conan-center.py] pre_export(): [CONANDATA.YML FORMAT (KB-H030)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO IMPORTS() (KB-H034)] OK [HOOK - conan-center.py] pre_export(): [NO AUTHOR (KB-H037)] OK [HOOK - conan-center.py] pre_export(): [NOT ALLOWED ATTRIBUTES (KB-H039)] OK [HOOK - conan-center.py] pre_export(): [NO TARGET NAME (KB-H040)] OK [HOOK - conan-center.py] pre_export(): [NO FINAL ENDLINE (KB-H041)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRES.ADD() (KB-H044)] OK [HOOK - conan-center.py] pre_export(): [DELETE OPTIONS (KB-H045)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERBOSE MAKEFILE (KB-H046)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERSION REQUIRED (KB-H048)] OK [HOOK - conan-center.py] pre_export(): [CMAKE WINDOWS EXPORT ALL SYMBOLS (KB-H049)] OK [HOOK - conan-center.py] pre_export(): [DEFAULT OPTIONS AS DICTIONARY (KB-H051)] OK [HOOK - conan-center.py] pre_export(): [CONFIG.YML HAS NEW VERSION (KB-H052)] OK [HOOK - conan-center.py] pre_export(): [PRIVATE IMPORTS (KB-H053)] OK [HOOK - conan-center.py] pre_export(): [SINGLE REQUIRES (KB-H055)] OK [HOOK - conan-center.py] pre_export(): [TOOLS RENAME (KB-H057)] OK [HOOK - conan-center.py] pre_export(): [ILLEGAL CHARACTERS (KB-H058)] OK [HOOK - conan-center.py] pre_export(): [CLASS NAME (KB-H059)] OK [HOOK - conan-center.py] pre_export(): [NO CRLF (KB-H060)] OK [HOOK - conan-center.py] pre_export(): [NO BUILD SYSTEM FUNCTIONS (KB-H061)] OK [HOOK - conan-center.py] pre_export(): [TOOLS CROSS BUILDING (KB-H062)] OK [HOOK - conan-center.py] pre_export(): [INVALID TOPICS (KB-H064)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRED_CONAN_VERSION (KB-H065)] OK [HOOK - conan-center.py] pre_export(): [TEST_TYPE MANAGEMENT (KB-H068)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO DEFAULT OPTIONS (KB-H069)] OK [HOOK - conan-center.py] pre_export(): [MANDATORY SETTINGS (KB-H070)] OK [HOOK - conan-center.py] pre_export(): [PYLINT EXECUTION (KB-H072)] OK [HOOK - conan-center.py] pre_export(): [REQUIREMENT OVERRIDE PARAMETER (KB-H075)] OK WARN: *** Conan 1 is legacy and on a deprecation path *** WARN: *** Please upgrade to Conan 2 *** [HOOK - conan-center.py] pre_export(): ERROR: [NO DANGLING PATCHES (KB-H078)] The patch file 'patches/disable_fetch_content.patch' does not exist. (https://github.com/conan-io/conan-center-index/blob/master/docs/error_knowledge_base.md#KB-H078-NO-DANGLING-PATCHES) ERROR: [HOOK - conan-center.py] pre_export(): Some checks failed running the hook, check the output -
tensorflow-lite/2.12.0: Error running command
conan export recipes/tensorflow-lite/all/conanfile.py tensorflow-lite/2.12.0@:[HOOK - conan-center.py] pre_export(): [DEPRECATED GLOBAL CPPSTD (KB-H001)] OK [HOOK - conan-center.py] pre_export(): [REFERENCE LOWERCASE (KB-H002)] OK [HOOK - conan-center.py] pre_export(): [RECIPE METADATA (KB-H003)] OK [HOOK - conan-center.py] pre_export(): [HEADER_ONLY, NO COPY SOURCE (KB-H005)] OK [HOOK - conan-center.py] pre_export(): [FPIC OPTION (KB-H006)] OK [HOOK - conan-center.py] pre_export(): [VERSION RANGES (KB-H008)] OK [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] Total recipe size: 24.830078125 KB [HOOK - conan-center.py] pre_export(): [RECIPE FOLDER SIZE (KB-H009)] OK [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] exports: None [HOOK - conan-center.py] pre_export(): [EXPORT LICENSE (KB-H023)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE FOLDER (KB-H024)] OK [HOOK - conan-center.py] pre_export(): [META LINES (KB-H025)] OK [HOOK - conan-center.py] pre_export(): [CONAN CENTER INDEX URL (KB-H027)] OK [HOOK - conan-center.py] pre_export(): [CMAKE MINIMUM VERSION (KB-H028)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - RUN ENVIRONMENT (KB-H029)] OK [HOOK - conan-center.py] pre_export(): [SYSTEM REQUIREMENTS (KB-H032)] OK [HOOK - conan-center.py] pre_export(): [CONANDATA.YML FORMAT (KB-H030)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO IMPORTS() (KB-H034)] OK [HOOK - conan-center.py] pre_export(): [NO AUTHOR (KB-H037)] OK [HOOK - conan-center.py] pre_export(): [NOT ALLOWED ATTRIBUTES (KB-H039)] OK [HOOK - conan-center.py] pre_export(): [NO TARGET NAME (KB-H040)] OK [HOOK - conan-center.py] pre_export(): [NO FINAL ENDLINE (KB-H041)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRES.ADD() (KB-H044)] OK [HOOK - conan-center.py] pre_export(): [DELETE OPTIONS (KB-H045)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERBOSE MAKEFILE (KB-H046)] OK [HOOK - conan-center.py] pre_export(): [CMAKE VERSION REQUIRED (KB-H048)] OK [HOOK - conan-center.py] pre_export(): [CMAKE WINDOWS EXPORT ALL SYMBOLS (KB-H049)] OK [HOOK - conan-center.py] pre_export(): [DEFAULT OPTIONS AS DICTIONARY (KB-H051)] OK [HOOK - conan-center.py] pre_export(): [CONFIG.YML HAS NEW VERSION (KB-H052)] OK [HOOK - conan-center.py] pre_export(): [PRIVATE IMPORTS (KB-H053)] OK [HOOK - conan-center.py] pre_export(): [SINGLE REQUIRES (KB-H055)] OK [HOOK - conan-center.py] pre_export(): [TOOLS RENAME (KB-H057)] OK [HOOK - conan-center.py] pre_export(): [ILLEGAL CHARACTERS (KB-H058)] OK [HOOK - conan-center.py] pre_export(): [CLASS NAME (KB-H059)] OK [HOOK - conan-center.py] pre_export(): [NO CRLF (KB-H060)] OK [HOOK - conan-center.py] pre_export(): [NO BUILD SYSTEM FUNCTIONS (KB-H061)] OK [HOOK - conan-center.py] pre_export(): [TOOLS CROSS BUILDING (KB-H062)] OK [HOOK - conan-center.py] pre_export(): [INVALID TOPICS (KB-H064)] OK [HOOK - conan-center.py] pre_export(): [NO REQUIRED_CONAN_VERSION (KB-H065)] OK [HOOK - conan-center.py] pre_export(): [TEST_TYPE MANAGEMENT (KB-H068)] OK [HOOK - conan-center.py] pre_export(): [TEST PACKAGE - NO DEFAULT OPTIONS (KB-H069)] OK [HOOK - conan-center.py] pre_export(): [MANDATORY SETTINGS (KB-H070)] OK [HOOK - conan-center.py] pre_export(): [PYLINT EXECUTION (KB-H072)] OK [HOOK - conan-center.py] pre_export(): [REQUIREMENT OVERRIDE PARAMETER (KB-H075)] OK WARN: *** Conan 1 is legacy and on a deprecation path *** WARN: *** Please upgrade to Conan 2 *** [HOOK - conan-center.py] pre_export(): ERROR: [NO DANGLING PATCHES (KB-H078)] The patch file 'patches/disable_fetch_content.patch' does not exist. (https://github.com/conan-io/conan-center-index/blob/master/docs/error_knowledge_base.md#KB-H078-NO-DANGLING-PATCHES) ERROR: [HOOK - conan-center.py] pre_export(): Some checks failed running the hook, check the output
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
Conan v2 pipeline :x:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
The v2 pipeline failed. Please, review the errors and note this is required for pull requests to be merged. In case this recipe is still not ported to Conan 2.x, please, ping @conan-io/barbarians on the PR and we will help you.
See details:
Failure in build 4 (396fb4666c31f183e426096b3e9b15e9e3b54d2f):
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tensorflow-lite/2.15.0:
Error running command
conan export --name tensorflow-lite --version 2.15.0 recipes/tensorflow-lite/all/conanfile.py:======== Exporting recipe to the cache ======== tensorflow-lite/2.15.0: Exporting package recipe: /home/conan/workspace/prod-v2_cci_PR-21763/recipes/tensorflow-lite/all/conanfile.py tensorflow-lite/2.15.0: exports: File 'conandata.yml' found. Exporting it... tensorflow-lite/2.15.0: Calling export_sources() ERROR: tensorflow-lite/2.15.0: Error in export_sources() method, line 59 export_conandata_patches(self) FileNotFoundError: [Errno 2] No such file or directory: '/home/conan/workspace/prod-v2_cci_PR-21763/recipes/tensorflow-lite/all/patches/disable_fetch_content.patch'
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability.
The bot is right @talyz, patches/disable_fetch_content.patch referenced in conandata.yml does not exist in the source tree. (It's unclear to me why this does not fail with a FileNotFoundError at some point, did not dig into Conan for that.)
Other patches have a version prefix and order in their filenames, would thus suggest to match that style for consistency.
Once fixed, this should pass CI.
Conan v1 pipeline :heavy_check_mark:
All green in build 5 (0354bf31bf89a9ab189a706c64df75a613ae599f):
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tensorflow-lite/2.10.0: All packages built successfully! (All logs)
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tensorflow-lite/2.15.0: All packages built successfully! (All logs)
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tensorflow-lite/2.12.0: All packages built successfully! (All logs)
Conan v2 pipeline :heavy_check_mark:
Note: Conan v2 builds are now mandatory. Please read our discussion about it.
All green in build 5 (0354bf31bf89a9ab189a706c64df75a613ae599f):
-
tensorflow-lite/2.15.0: All packages built successfully! (All logs)
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tensorflow-lite/2.12.0: All packages built successfully! (All logs)
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tensorflow-lite/2.10.0: All packages built successfully! (All logs)