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donglinz opened this issue Nov 25, 2021 · 6 comments
Open

Is there any prebuild for libtensorflow available? #44

donglinz opened this issue Nov 25, 2021 · 6 comments

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@donglinz
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donglinz commented Nov 25, 2021 •
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Is there any build of libtensorflow available that I can download? I tried to build from source inside a NGC container nvcr.io/nvidia/tensorflow:21.10-tf1-py3, but failed.

Thanks in advance.
@donglinz
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The branch I tried to build is r1.15.5+nv21.10, I don't think there is any environment issue on my side as I just use NGC container with aligned release version (21.10). It would be highly appreciated if I can get some suggestions on how to build this successfully.

The build configuration is as as below:

[root@i39a12207:/home/xxx/workspace/nvtf/tensorflow# ./configure 
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.24.1 installed.
Please specify the location of python. [Default is /usr/bin/python]: 


Found possible Python library paths:
  /usr/lib/python3/dist-packages
  /usr/local/lib/python3.8/dist-packages
Please input the desired Python library path to use.  Default is [/usr/lib/python3/dist-packages]

Do you wish to build TensorFlow with XLA JIT support? [Y/n]: Y
XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: N
No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with ROCm support? [y/N]: N
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: Y
CUDA support will be enabled for TensorFlow.

Do you wish to build TensorFlow with TensorRT support? [y/N]: N
No TensorRT support will be enabled for TensorFlow.

Found CUDA 11.4 in:
    /usr/local/cuda/lib64
    /usr/local/cuda/include
Found cuDNN 8 in:
    /usr/lib/x86_64-linux-gnu
    /usr/include


Please specify a list of comma-separated CUDA compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size, and that TensorFlow only supports compute capabilities >= 3.5 [Default is: 3.5,7.0]: 8.0


Do you want to use clang as CUDA compiler? [y/N]: N
nvcc will be used as CUDA compiler.

Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 


Do you wish to build TensorFlow with MPI support? [y/N]: N
No MPI support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native -Wno-sign-compare]: 


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: N
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
	--config=mkl         	# Build with MKL support.
	--config=monolithic  	# Config for mostly static monolithic build.
	--config=gdr         	# Build with GDR support.
	--config=verbs       	# Build with libverbs support.
	--config=ngraph      	# Build with Intel nGraph support.
	--config=numa        	# Build with NUMA support.
	--config=dynamic_kernels	# (Experimental) Build kernels into separate shared objects.
	--config=v2          	# Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=noaws       	# Disable AWS S3 filesystem support.
	--config=nogcp       	# Disable GCP support.
	--config=nohdfs      	# Disable HDFS support.
	--config=noignite    	# Disable Apache Ignite support.
	--config=nokafka     	# Disable Apache Kafka support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=noaws       	# Disable AWS S3 filesystem support.
	--config=nogcp       	# Disable GCP support.
	--config=nohdfs      	# Disable HDFS support.
	--config=noignite    	# Disable Apacha Ignite support.
	--config=nokafka     	# Disable Apache Kafka support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Configuration finished

I build nvtf with command:

 bazel build --jobs=90 //tensorflow/tools/lib_package:libtensorflow

Error message:

ERROR: /home/xxx/workspace/nvtf/tensorflow/tensorflow/compiler/xla/service/cpu/BUILD:583:1: C++ compilation of rule '//tensorflow/compiler/xla/service/cpu:runtime_conv2d_mkl' failed (Exit 1)
In file included from ./third_party/eigen3/unsupported/Eigen/CXX11/FixedPoint:35,
                 from ./tensorflow/core/framework/numeric_types.h:24,
                 from ./tensorflow/compiler/xla/types.h:23,
                 from ./tensorflow/compiler/xla/executable_run_options.h:21,
                 from tensorflow/compiler/xla/service/cpu/runtime_conv2d_mkl.cc:17:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_min(const Packet&) [with Packet = Eigen::internal::Packet16q32i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt32]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:432:16: error: could not convert ‘Eigen::internal::pfirst<__vector(2) long long int>(_mm_min_epi32(res.Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>::operator __vector(2) long long int&(), _mm_shuffle_epi32(res.Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>::operator __vector(2) long long int&(), ((((0 << 6) | (0 << 4)) | (0 << 2)) | 1))))’ from ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘Eigen::QInt32’
  432 |   return pfirst(
      |          ~~~~~~^
      |                |
      |                Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  433 |       _mm_min_epi32(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_max(const Packet&) [with Packet = Eigen::internal::Packet16q32i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt32]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:444:16: error: could not convert ‘Eigen::internal::pfirst<__vector(2) long long int>(_mm_max_epi32(res.Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>::operator __vector(2) long long int&(), _mm_shuffle_epi32(res.Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>::operator __vector(2) long long int&(), ((((0 << 6) | (0 << 4)) | (0 << 2)) | 1))))’ from ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘Eigen::QInt32’
  444 |   return pfirst(
      |          ~~~~~~^
      |                |
      |                Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  445 |       _mm_max_epi32(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_min(const Packet&) [with Packet = Eigen::internal::Packet32q16i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt16]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:456:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  456 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  457 |       _mm_min_epi16(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_max(const Packet&) [with Packet = Eigen::internal::Packet32q16i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt16]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:470:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  470 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  471 |       _mm_max_epi16(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_min(const Packet&) [with Packet = Eigen::internal::Packet64q8u; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QUInt8]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:484:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  484 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  485 |       _mm_min_epu8(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_max(const Packet&) [with Packet = Eigen::internal::Packet64q8u; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QUInt8]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:499:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  499 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  500 |       _mm_max_epu8(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_min(const Packet&) [with Packet = Eigen::internal::Packet64q8i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt8]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:514:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  514 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  515 |       _mm_min_epi8(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h: In function ‘typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux_max(const Packet&) [with Packet = Eigen::internal::Packet64q8i; typename Eigen::internal::unpacket_traits<T>::type = Eigen::QInt8]’:
./third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/PacketMathAVX512.h:529:27: error: cannot convert ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::type’ {aka ‘__vector(2) long long int’} to ‘uint32_t’ {aka ‘unsigned int’} in initialization
  529 |   std::uint32_t w = pfirst(
      |                     ~~~~~~^
      |                           |
      |                           Eigen::internal::unpacket_traits<__vector(2) long long int>::type {aka __vector(2) long long int}
  530 |       _mm_max_epi8(res, _mm_shuffle_epi32(res, _MM_SHUFFLE(0, 0, 0, 1))));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Target //tensorflow/tools/lib_package:libtensorflow failed to build
Use --verbose_failures to see the command lines of failed build steps.

@nluehr
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nluehr commented Dec 2, 2021

Source build instructions are now included in the README. Can you try building with those?

@burness
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burness commented Dec 3, 2021

./tensorflow/core/kernels/cwise_ops_common.h:268:45: required from 'void tensorflow::UnaryOp<Device, Functor>::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; Functor = tensorflow::functor::get_angle<std::complex >]'
tensorflow/core/kernels/cwise_op_arg.cc:35:1: required from here
external/eigen_archive/Eigen/src/Core/MathFunctions.h:1255:49: error: cannot convert 'std::complex' to 'Eigen::internal::arg_retval<std::complex >::type {aka float}' in return
@nluehr @donglinz I have build libtensorflow also meet an issue, it seems to be caused by Eigen

@nluehr
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nluehr commented Dec 3, 2021

Using the build instructions in the README and r1.15.5+nv21.11 branch, I can build //tensorflow/tools/lib_package:libtensorflow without error. @burness, please provide details of your build environment along with the commands you are using to configure and build.

@burness
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burness commented Dec 6, 2021 •
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The build command is :

bazel build --config=opt --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --verbose_failures //tensorflow/tools/lib_package:libtensorflow

and the build environment is centos 7.5 and gcc version is 7.3.1

@nluehr
And I build the google tensorflow r1.15 branch successfully in the same environment. Can I use the nvidia-tensorflow when training and inference with the google tensorflow r1.15 libtensorflow?

And the detail log, It seems to be caused by eigen data type convertion:

tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'bool tensorflow::BFCAllocator::MergeTimestampedChunks(size_t)':
tensorflow/core/common_runtime/bfc_allocator.cc:711:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (h == kInvalidChunkHandle) {
         ~~^~~~~~~~~~~~~~~~~~~~~~
tensorflow/core/common_runtime/bfc_allocator.cc:740:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int ci = 0; ci < to_merge.size(); ++ci) {
                    ~~~^~~~~~~~~~~~~~~~~
tensorflow/core/common_runtime/bfc_allocator.cc:746:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (h == kInvalidChunkHandle) continue;
         ~~^~~~~~~~~~~~~~~~~~~~~~
In file included from ./tensorflow/core/platform/default/logging.h:27:0,
                 from ./tensorflow/core/platform/logging.h:35,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/core/lib/core/errors.h:22,
                 from ./tensorflow/core/platform/env.h:24,
                 from ./tensorflow/core/common_runtime/allocator_retry.h:19,
                 from ./tensorflow/core/common_runtime/bfc_allocator.h:27,
                 from tensorflow/core/common_runtime/bfc_allocator.cc:16:
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'virtual size_t tensorflow::BFCAllocator::RequestedSize(const void*) const':
tensorflow/core/common_runtime/bfc_allocator.cc:778:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(h != kInvalidChunkHandle)
         ~~^~~~
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
tensorflow/core/common_runtime/bfc_allocator.cc:778:3: note: in expansion of macro 'CHECK'
   CHECK(h != kInvalidChunkHandle)
   ^
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'virtual size_t tensorflow::BFCAllocator::AllocatedSize(const void*) const':
tensorflow/core/common_runtime/bfc_allocator.cc:787:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(h != kInvalidChunkHandle)
         ~~^~~~
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
tensorflow/core/common_runtime/bfc_allocator.cc:787:3: note: in expansion of macro 'CHECK'
   CHECK(h != kInvalidChunkHandle)
   ^
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'virtual tensorflow::int64 tensorflow::BFCAllocator::AllocationId(const void*) const':
tensorflow/core/common_runtime/bfc_allocator.cc:796:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(h != kInvalidChunkHandle)
         ~~^~~~
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
tensorflow/core/common_runtime/bfc_allocator.cc:796:3: note: in expansion of macro 'CHECK'
   CHECK(h != kInvalidChunkHandle)
   ^
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'std::string tensorflow::BFCAllocator::RenderOccupancy()':
tensorflow/core/common_runtime/bfc_allocator.cc:851:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     while (h != kInvalidChunkHandle) {
            ~~^~~~~~~~~~~~~~~~~~~~~~
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'void tensorflow::BFCAllocator::DumpMemoryLog(size_t)':
tensorflow/core/common_runtime/bfc_allocator.cc:912:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     while (h != kInvalidChunkHandle) {
            ~~^~~~~~~~~~~~~~~~~~~~~~
tensorflow/core/common_runtime/bfc_allocator.cc: In member function 'std::array<tensorflow::BFCAllocator::BinDebugInfo, 21> tensorflow::BFCAllocator::get_bin_debug_info()':
tensorflow/core/common_runtime/bfc_allocator.cc:961:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     while (h != kInvalidChunkHandle) {
            ~~^~~~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/stream_executor/device_description.cc [for host]:
tensorflow/stream_executor/device_description.cc: In function 'bool stream_executor::ThreadDimOk(const stream_executor::DeviceDescription&, const stream_executor::ThreadDim&)':
tensorflow/stream_executor/device_description.cc:129:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   if (total_threads > threads_per_block_limit) {
       ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/core/framework/allocator_registry.cc [for host]:
tensorflow/core/framework/allocator_registry.cc: In member function 'tensorflow::SubAllocator* tensorflow::AllocatorFactoryRegistry::GetSubAllocator(int)':
tensorflow/core/framework/allocator_registry.cc:116:43: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (best_entry->sub_allocators.size() < (index + 1)) {
         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
INFO: From Compiling tensorflow/core/grappler/costs/op_level_cost_estimator.cc [for host]:
tensorflow/core/grappler/costs/op_level_cost_estimator.cc: In function 'bool tensorflow::grappler::{anonymous}::CheckRepeatedDimensions(const string&)':
tensorflow/core/grappler/costs/op_level_cost_estimator.cc:199:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int idx = 0; idx < dim_str.size() - 1; idx++) {
                     ~~~~^~~~~~~~~~~~~~~~~~~~
tensorflow/core/grappler/costs/op_level_cost_estimator.cc: In member function 'tensorflow::grappler::Costs tensorflow::grappler::OpLevelCostEstimator::PredictEinsum(const tensorflow::grappler::OpContext&) const':
tensorflow/core/grappler/costs/op_level_cost_estimator.cc:1395:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   if (a_input_str.size() != a_input_shape.dim_size() ||
       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
tensorflow/core/grappler/costs/op_level_cost_estimator.cc:1396:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       b_input_str.size() != b_input_shape.dim_size()) {
       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
tensorflow/core/grappler/costs/op_level_cost_estimator.cc:1438:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i_idx = 0; i_idx < a_input_str.size(); ++i_idx) {
                       ~~~~~~^~~~~~~~~~~~~~~~~~~~
tensorflow/core/grappler/costs/op_level_cost_estimator.cc:1458:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i_idx = 0; i_idx < b_input_str.size(); ++i_idx) {
                       ~~~~~~^~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/core/profiler/nvtx_utils.cc [for host]:
tensorflow/core/profiler/nvtx_utils.cc: In function 'std::string tensorflow::nvtx::detail::GetNodeExecutionRangeMessageImpl(const tensorflow::OpKernel*, const absl::InlinedVector<const tensorflow::Tensor*, 4>&)':
tensorflow/core/profiler/nvtx_utils.cc:219:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < input_tensors.size(); ++i) {
                     ~~^~~~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/core/framework/cpu_allocator_impl.cc [for host]:
tensorflow/core/framework/cpu_allocator_impl.cc: In member function 'virtual void* tensorflow::{anonymous}::CPUAllocator::AllocateRaw(size_t, size_t)':
tensorflow/core/framework/cpu_allocator_impl.cc:78:19: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (num_bytes > LargeAllocationWarningBytes() &&
         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/core/kernels/initializable_lookup_table.cc [for host]:
tensorflow/core/kernels/initializable_lookup_table.cc: In member function 'virtual tensorflow::Status tensorflow::lookup::InitializableLookupTable::AreEntriesSame(const tensorflow::lookup::InitializableLookupTable::InitTableIterator&, bool*)':
tensorflow/core/kernels/initializable_lookup_table.cc:80:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   *result = iter.total_size() == size();
             ~~~~~~~~~~~~~~~~~~^~~~~~~~~
INFO: From Compiling tensorflow/core/kernels/lookup_util.cc [for host]:
tensorflow/core/kernels/lookup_util.cc: In member function 'virtual void tensorflow::lookup::{anonymous}::TextFileLineIterator::Next()':
tensorflow/core/kernels/lookup_util.cc:133:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       if (std::max(key_index_, value_index_) >= tokens.size()) {
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/stream_executor/stream_executor_pimpl.cc [for host]:
tensorflow/stream_executor/stream_executor_pimpl.cc: In member function 'stream_executor::DeviceMemoryBase stream_executor::StreamExecutor::Allocate(tensorflow::uint64, tensorflow::int64)':
tensorflow/stream_executor/stream_executor_pimpl.cc:538:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       mem_alloc_bytes_ + size > memory_limit_bytes_) {
       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from ./tensorflow/core/platform/default/logging.h:27:0,
                 from ./tensorflow/core/platform/logging.h:35,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/core/lib/core/errors.h:22,
                 from ./tensorflow/stream_executor/device_memory_allocator.h:23,
                 from ./tensorflow/stream_executor/stream_executor_pimpl.h:28,
                 from tensorflow/stream_executor/stream_executor_pimpl.cc:20:
./tensorflow/core/platform/default/logging.h: In instantiation of 'std::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long long unsigned int; std::string = std::basic_string<char>]':
tensorflow/stream_executor/stream_executor_pimpl.cc:776:3:   required from here
./tensorflow/core/platform/default/logging.h:283:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
                         ==)  // Compilation error with CHECK_EQ(NULL, x)?
./tensorflow/core/platform/macros.h:88:49: note: in definition of macro 'TF_PREDICT_TRUE'
 #define TF_PREDICT_TRUE(x) (__builtin_expect(!!(x), 1))
                                                 ^
./tensorflow/core/platform/default/logging.h:282:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL'
 TF_DEFINE_CHECK_OP_IMPL(Check_EQ,
 ^~~~~~~~~~~~~~~~~~~~~~~
INFO: From Compiling tensorflow/stream_executor/stream.cc [for host]:
tensorflow/stream_executor/stream.cc: In member function 'stream_executor::Stream* stream_executor::Stream::GetOrCreateSubStream()':
tensorflow/stream_executor/stream.cc:2533:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int64 index = 0; index < sub_streams_.size();) {
                         ~~~~~~^~~~~~~~~~~~~~~~~~~~~
tensorflow/stream_executor/stream.cc: In member function 'void stream_executor::Stream::ReturnSubStream(stream_executor::Stream*)':
tensorflow/stream_executor/stream.cc:2579:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int64 index = 0; index < sub_streams_.size(); ++index) {
                         ~~~~~~^~~~~~~~~~~~~~~~~~~~~
ERROR: /work/ntensorflow/tensorflow/core/kernels/BUILD:3829:1: C++ compilation of rule '//tensorflow/core/kernels:cwise_op' failed (Exit 1): gcc failed: error executing command
  (cd /root/.cache/bazel/_bazel_root/aa196f833e0f7dbca9b4aad2483c2129/execroot/org_tensorflow && \
  exec env - \
    LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:/opt/rh/devtoolset-7/root/usr/lib64/dyninst:/opt/rh/devtoolset-7/root/usr/lib/dyninst:/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:/opt/rh/devtoolset-7/root/usr/lib64/dyninst:/opt/rh/devtoolset-7/root/usr/lib/dyninst:/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib::/usr/lib/jvm/jre-1.8.0-openjdk-1.8.0.272.b10-1.el7_9.x86_64//jre/lib/amd64/server:/app/hadoop/lib/native:/usr/lib/jvm/jre-1.8.0-openjdk-1.8.0.272.b10-1.el7_9.x86_64//jre/lib/amd64/server:/app/hadoop/lib/native \
    PATH=/opt/rh/devtoolset-7/root/usr/bin:/usr/lib/jvm/jre-1.8.0-openjdk-1.8.0.272.b10-1.el7_9.x86_64//bin:/app/hive/bin:/app/hadoop/bin:/app/spark/bin:/app/anaconda3/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/app/hadoop/bin/:/app/cmake-3.19.0-Linux-x86_64/bin \
    PWD=/proc/self/cwd \
    PYTHON_BIN_PATH=/app/anaconda3/bin/python \
    PYTHON_LIB_PATH=/app/anaconda3/lib/python3.7/site-packages \
    TF2_BEHAVIOR=0 \
    TF_CONFIGURE_IOS=0 \
    TF_USE_CCACHE=0 \
  /opt/rh/devtoolset-7/root/usr/bin/gcc -U_FORTIFY_SOURCE -fstack-protector -Wall -Wunused-but-set-parameter -Wno-free-nonheap-object -fno-omit-frame-pointer -g0 -O2 '-D_FORTIFY_SOURCE=1' -DNDEBUG -ffunction-sections -fdata-sections '-std=c++0x' -MD -MF bazel-out/k8-opt/bin/tensorflow/core/kernels/_objs/cwise_op/cwise_op_arg.pic.d '-frandom-seed=bazel-out/k8-opt/bin/tensorflow/core/kernels/_objs/cwise_op/cwise_op_arg.pic.o' -fPIC -D__CLANG_SUPPORT_DYN_ANNOTATION__ -DEIGEN_MPL2_ONLY '-DEIGEN_MAX_ALIGN_BYTES=64' '-DEIGEN_HAS_TYPE_TRAITS=0' -DTF_USE_SNAPPY -DCURL_STATICLIB -DPLATFORM_LINUX -DENABLE_CURL_CLIENT -DENABLE_NO_ENCRYPTION -iquote . -iquote bazel-out/k8-opt/genfiles -iquote bazel-out/k8-opt/bin -iquote external/com_google_absl -iquote bazel-out/k8-opt/genfiles/external/com_google_absl -iquote bazel-out/k8-opt/bin/external/com_google_absl -iquote external/eigen_archive -iquote bazel-out/k8-opt/genfiles/external/eigen_archive -iquote bazel-out/k8-opt/bin/external/eigen_archive -iquote external/local_config_sycl -iquote bazel-out/k8-opt/genfiles/external/local_config_sycl -iquote bazel-out/k8-opt/bin/external/local_config_sycl -iquote external/nsync -iquote bazel-out/k8-opt/genfiles/external/nsync -iquote bazel-out/k8-opt/bin/external/nsync -iquote external/gif_archive -iquote bazel-out/k8-opt/genfiles/external/gif_archive -iquote bazel-out/k8-opt/bin/external/gif_archive -iquote external/jpeg -iquote bazel-out/k8-opt/genfiles/external/jpeg -iquote bazel-out/k8-opt/bin/external/jpeg -iquote external/com_google_protobuf -iquote bazel-out/k8-opt/genfiles/external/com_google_protobuf -iquote bazel-out/k8-opt/bin/external/com_google_protobuf -iquote external/com_googlesource_code_re2 -iquote bazel-out/k8-opt/genfiles/external/com_googlesource_code_re2 -iquote bazel-out/k8-opt/bin/external/com_googlesource_code_re2 -iquote external/farmhash_archive -iquote bazel-out/k8-opt/genfiles/external/farmhash_archive -iquote bazel-out/k8-opt/bin/external/farmhash_archive -iquote external/fft2d -iquote bazel-out/k8-opt/genfiles/external/fft2d -iquote bazel-out/k8-opt/bin/external/fft2d -iquote external/highwayhash -iquote bazel-out/k8-opt/genfiles/external/highwayhash -iquote bazel-out/k8-opt/bin/external/highwayhash -iquote external/zlib_archive -iquote bazel-out/k8-opt/genfiles/external/zlib_archive -iquote bazel-out/k8-opt/bin/external/zlib_archive -iquote external/double_conversion -iquote bazel-out/k8-opt/genfiles/external/double_conversion -iquote bazel-out/k8-opt/bin/external/double_conversion -iquote external/curl -iquote bazel-out/k8-opt/genfiles/external/curl -iquote bazel-out/k8-opt/bin/external/curl -iquote external/boringssl -iquote bazel-out/k8-opt/genfiles/external/boringssl -iquote bazel-out/k8-opt/bin/external/boringssl -iquote external/jsoncpp_git -iquote bazel-out/k8-opt/genfiles/external/jsoncpp_git -iquote bazel-out/k8-opt/bin/external/jsoncpp_git -iquote external/aws -iquote bazel-out/k8-opt/genfiles/external/aws -iquote bazel-out/k8-opt/bin/external/aws -isystem external/eigen_archive -isystem bazel-out/k8-opt/genfiles/external/eigen_archive -isystem bazel-out/k8-opt/bin/external/eigen_archive -isystem external/nsync/public -isystem bazel-out/k8-opt/genfiles/external/nsync/public -isystem bazel-out/k8-opt/bin/external/nsync/public -isystem external/gif_archive -isystem bazel-out/k8-opt/genfiles/external/gif_archive -isystem bazel-out/k8-opt/bin/external/gif_archive -isystem external/com_google_protobuf/src -isystem bazel-out/k8-opt/genfiles/external/com_google_protobuf/src -isystem bazel-out/k8-opt/bin/external/com_google_protobuf/src -isystem external/farmhash_archive/src -isystem bazel-out/k8-opt/genfiles/external/farmhash_archive/src -isystem bazel-out/k8-opt/bin/external/farmhash_archive/src -isystem external/zlib_archive -isystem bazel-out/k8-opt/genfiles/external/zlib_archive -isystem bazel-out/k8-opt/bin/external/zlib_archive -isystem external/double_conversion -isystem bazel-out/k8-opt/genfiles/external/double_conversion -isystem bazel-out/k8-opt/bin/external/double_conversion -isystem external/curl/include -isystem bazel-out/k8-opt/genfiles/external/curl/include -isystem bazel-out/k8-opt/bin/external/curl/include -isystem external/boringssl/src/include -isystem bazel-out/k8-opt/genfiles/external/boringssl/src/include -isystem bazel-out/k8-opt/bin/external/boringssl/src/include -isystem external/jsoncpp_git/include -isystem bazel-out/k8-opt/genfiles/external/jsoncpp_git/include -isystem bazel-out/k8-opt/bin/external/jsoncpp_git/include -isystem external/aws/aws-cpp-sdk-core/include -isystem bazel-out/k8-opt/genfiles/external/aws/aws-cpp-sdk-core/include -isystem bazel-out/k8-opt/bin/external/aws/aws-cpp-sdk-core/include -isystem external/aws/aws-cpp-sdk-kinesis/include -isystem bazel-out/k8-opt/genfiles/external/aws/aws-cpp-sdk-kinesis/include -isystem bazel-out/k8-opt/bin/external/aws/aws-cpp-sdk-kinesis/include -isystem external/aws/aws-cpp-sdk-s3/include -isystem bazel-out/k8-opt/genfiles/external/aws/aws-cpp-sdk-s3/include -isystem bazel-out/k8-opt/bin/external/aws/aws-cpp-sdk-s3/include -w '-march=native' -Wno-sign-compare '-std=c++14' '-D_GLIBCXX_USE_CXX11_ABI=0' -DEIGEN_AVOID_STL_ARRAY -Iexternal/gemmlowp -Wno-sign-compare '-ftemplate-depth=900' -fno-exceptions '-DGOOGLE_NCCL=1' -msse3 -pthread '-DGOOGLE_NCCL=1' -fno-canonical-system-headers -Wno-builtin-macro-redefined '-D__DATE__="redacted"' '-D__TIMESTAMP__="redacted"' '-D__TIME__="redacted"' -c tensorflow/core/kernels/cwise_op_arg.cc -o bazel-out/k8-opt/bin/tensorflow/core/kernels/_objs/cwise_op/cwise_op_arg.pic.o)
Execution platform: @bazel_tools//platforms:host_platform
In file included from external/eigen_archive/Eigen/Core:165:0,
                 from ./third_party/eigen3/Eigen/Core:1,
                 from ./tensorflow/core/lib/strings/strcat.h:29,
                 from ./tensorflow/core/lib/core/errors.h:24,
                 from ./tensorflow/core/framework/op.h:26,
                 from ./tensorflow/core/kernels/cwise_ops_common.h:29,
                 from tensorflow/core/kernels/cwise_op_arg.cc:16:
external/eigen_archive/Eigen/src/Core/MathFunctions.h: In instantiation of 'typename Eigen::internal::arg_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type Eigen::numext::arg(const Scalar&) [with Scalar = std::complex<double>; typename Eigen::internal::arg_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type = double]':
external/eigen_archive/Eigen/src/Core/functors/UnaryFunctors.h:141:114:   required from 'const result_type Eigen::internal::scalar_arg_op<Scalar>::operator()(const Scalar&) const [with Scalar = std::complex<double>; Eigen::internal::scalar_arg_op<Scalar>::result_type = double]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:506:44:   required from 'Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::Index) const [with UnaryOp = Eigen::internal::scalar_arg_op<std::complex<double> >; ArgType = const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::CoeffReturnType = double; Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::Index = long int]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:172:28:   required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<double> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::Index = long int]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:276:7:   required from 'static void Eigen::internal::EvalRange<Evaluator, StorageIndex, Vectorizable>::run(Evaluator*, StorageIndex, StorageIndex) [with Evaluator = Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<double> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; StorageIndex = long int; bool Vectorizable = false]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:341:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:338:7:   required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<double> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer> > >; bool Vectorizable = false; Eigen::internal::TiledEvaluation Tiling = (Eigen::internal::TiledEvaluation)0]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from 'Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<double> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]'
./tensorflow/core/kernels/cwise_ops_common.h:297:17:   required from 'void tensorflow::functor::Assign(const D&, Out, Rhs) [with D = Eigen::ThreadPoolDevice; Out = Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>; Rhs = Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<double> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer> >]'
./tensorflow/core/kernels/cwise_ops_common.h:560:11:   required from 'void tensorflow::functor::UnaryFunctor<Eigen::ThreadPoolDevice, Functor>::operator()(const CPUDevice&, typename Functor::tout_type, typename Functor::tin_type) [with Functor = tensorflow::functor::get_angle<std::complex<double> >; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename Functor::tout_type = Eigen::TensorMap<Eigen::Tensor<double, 1, 1, long int>, 16, Eigen::MakePointer>; typename Functor::tin_type = Eigen::TensorMap<Eigen::Tensor<const std::complex<double>, 1, 1, long int>, 16, Eigen::MakePointer>]'
./tensorflow/core/kernels/cwise_ops_common.h:268:45:   required from 'void tensorflow::UnaryOp<Device, Functor>::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; Functor = tensorflow::functor::get_angle<std::complex<double> >]'
tensorflow/core/kernels/cwise_op_arg.cc:35:1:   required from here
external/eigen_archive/Eigen/src/Core/MathFunctions.h:1255:49: error: cannot convert 'std::complex<double>' to 'Eigen::internal::arg_retval<std::complex<double> >::type {aka double}' in return
   return EIGEN_MATHFUNC_IMPL(arg, Scalar)::run(x);
                                                 ^
external/eigen_archive/Eigen/src/Core/MathFunctions.h: In instantiation of 'typename Eigen::internal::arg_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type Eigen::numext::arg(const Scalar&) [with Scalar = std::complex<float>; typename Eigen::internal::arg_retval<typename Eigen::internal::global_math_functions_filtering_base<Scalar>::type>::type = float]':
external/eigen_archive/Eigen/src/Core/functors/UnaryFunctors.h:141:114:   required from 'const result_type Eigen::internal::scalar_arg_op<Scalar>::operator()(const Scalar&) const [with Scalar = std::complex<float>; Eigen::internal::scalar_arg_op<Scalar>::result_type = float]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:506:44:   required from 'Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::Index) const [with UnaryOp = Eigen::internal::scalar_arg_op<std::complex<float> >; ArgType = const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::CoeffReturnType = float; Eigen::TensorEvaluator<const Eigen::TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>::Index = long int]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:172:28:   required from 'void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::Index) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<float> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::Index = long int]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:276:7:   required from 'static void Eigen::internal::EvalRange<Evaluator, StorageIndex, Vectorizable>::run(Evaluator*, StorageIndex, StorageIndex) [with Evaluator = Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<float> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; StorageIndex = long int; bool Vectorizable = false]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:341:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:338:7:   required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<float> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer> > >; bool Vectorizable = false; Eigen::internal::TiledEvaluation Tiling = (Eigen::internal::TiledEvaluation)0]'
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from 'Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<float> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]'
./tensorflow/core/kernels/cwise_ops_common.h:297:17:   required from 'void tensorflow::functor::Assign(const D&, Out, Rhs) [with D = Eigen::ThreadPoolDevice; Out = Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>; Rhs = Eigen::TensorCwiseUnaryOp<Eigen::internal::scalar_arg_op<std::complex<float> >, const Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer> >]'
./tensorflow/core/kernels/cwise_ops_common.h:560:11:   required from 'void tensorflow::functor::UnaryFunctor<Eigen::ThreadPoolDevice, Functor>::operator()(const CPUDevice&, typename Functor::tout_type, typename Functor::tin_type) [with Functor = tensorflow::functor::get_angle<std::complex<float> >; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename Functor::tout_type = Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long int>, 16, Eigen::MakePointer>; typename Functor::tin_type = Eigen::TensorMap<Eigen::Tensor<const std::complex<float>, 1, 1, long int>, 16, Eigen::MakePointer>]'
./tensorflow/core/kernels/cwise_ops_common.h:268:45:   required from 'void tensorflow::UnaryOp<Device, Functor>::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; Functor = tensorflow::functor::get_angle<std::complex<float> >]'
tensorflow/core/kernels/cwise_op_arg.cc:35:1:   required from here
external/eigen_archive/Eigen/src/Core/MathFunctions.h:1255:49: error: cannot convert 'std::complex<float>' to 'Eigen::internal::arg_retval<std::complex<float> >::type {aka float}' in return
Target //tensorflow/tools/lib_package:libtensorflow failed to build
INFO: Elapsed time: 1982.637s, Critical Path: 432.02s
INFO: 3905 processes: 3905 local.

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KennBot commented Jan 25, 2022

Hi! Your compile issue is caused with an issue of compiling this repository's FixedPoint library on a newer gcc. This issue for the library was fixed in Google's Tensorflow 2.x, and I've created a pull request (#48) that fixes it in this repository. In the meantime, you can simply copy the FixedPoint library from the 2.x code into your local copy of the nvidia-tensorflow repository, and it should fix the compile error and build successfully. I got your same error and fixed it by doing this. Also, the error in issue #47 is identical to yours, and that issue was fixed by copying over this library. If you haven't found a prebuild yet, give compiling from source another try!

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